May 11, 2024  
Graduate Catalog 2020-21 
    
Graduate Catalog 2020-21 [ARCHIVED CATALOG]

Course Descriptions


 

Communication

  
  • COM 7000 - Master’s Thesis


    Please refer to the Graduate College section for course descriptions.

    Prerequisites/Corequisites: Prerequisite: Approved application; department and Graduate College approval.

    Credits: 1 to 6 hours

    Notes: May be repeated for credit. Graded on a Credit/No Credit basis. Open to graduate students only.
  
  • COM 7100 - Independent Research


    Please refer to the Graduate College section for course descriptions.

    Prerequisites/Corequisites: Prerequisite: Department approval.

    Credits: 2 to 6 hours

    Notes: May be repeated for credit. Graded on a Credit/No Credit basis. Open to graduate students only.
  
  • COM 7120 - Professional Field Experience


    Please refer to the Graduate College section for course descriptions.

    Prerequisites/Corequisites: Prerequisite: Department approval.

    Credits: 2 to 6 hours

    Notes: May be repeated for credit. Graded on a Credit/No Credit basis. Open to graduate students only.
  
  • COM 7150 - Professional Project in Communication


    The professional project option is intended for graduate students who desire to extend their academic education by engaging in the development, enactment, and assessment of an applied communication experience. The uniqueness of each student’s professional project enhances theoretical and applied learning and provides an opportunity to evaluate the scope of conceptual understanding and skills mastery acquired in the M.A. program. The professional project may involve workshops, case studies, training, creation of websites, communication assessments and completion of other projects within the context of the student’s chosen area of study.

    Credits: 3 hours

    Restrictions Restricted to Masters in Communication.
    Notes: Graded on a Credit/No Credit basis. Open to graduate students only.

Comparative Religion

  
  • REL 5000 - Historical Studies in Religion


    The topic to be announced in the Schedule of Course Offerings. The content of the course will vary from semester to semester. Students may repeat the course for credit as long as the subject matter is different. Topics such as the following will be studied: Zen Buddhism; Buddhism; Taoism; Shinto; New Religions of Japan; Religion in Japanese Literature; Islam in the Modern World; Christian Theology to 1500; Renaissance and Reformation Theology; Mystical Dimensions of Islam.

    Credits: 2 to 4 hours

    Notes: May be repeated for credit. Open to upper level and graduate students.
  
  • REL 5011 - Religion, Culture and Health: Cultures from the East


    Study of spirituality, culture, and religion in relation to understanding the body, illness, and health in South and East Asian culture and religion. The course covers the impact of spirituality, religion and culture on health status and health outcomes; the nature and history of religions that originated in South and East Asia; practical application of culturally competent care for patients with East and South Asian cultural/religious beliefs, and; the impact of religious belief, spirituality, and culture on patient and provider relationships, in the context of the healthcare and human services environment in the United States.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • REL 5012 - Religion, Culture and Health: Cultures from Africa, the Middle East, and West


    Study of spirituality, culture, and religion in relation to understanding of the body, illness, and health in Middle Eastern and African religions, and in folk medicine and religious healing with origins in multiple geographic areas. The course covers the impact of spirituality, religion, and culture on health status and health outcomes; the nature and history of religions that originated in the Middle East and Africa and folk medicine and religious healing; practical application of culturally competent care for patients with religious/cultural beliefs that originated in the Middle East and Africa, and in cultures where folk medicine and religious healing are practiced, and; the impact of religious belief, spirituality, and culture on patient and provider relationships, and on the process of healing, in the context of healthcare and human services environment in the United States.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • REL 5100 - Comparative Studies in Religion


    The topic to be announced in the Schedule of Course Offerings. The content of the course will vary from semester to semester. Students may repeat the course for credit as long as the subject matter is different. Topics such as the following will be studied: Millennium, Utopia, and Revolution; Femininity as a Religious Form; Great Islamic Thinkers; the Hindu Yogas; the Occult Tradition.

    Credits: 2 to 4 hours

    Notes: May be repeated for credit. Open to upper level and graduate students.
  
  • REL 5980 - Readings in Religion


    Research on some selected period or topic under supervision of a member of the Religion faculty. Approval of instructor involved and Chairperson of the Department must be secured in advance of registration.

    Credits: 1 to 4 hours

    Notes: May be repeated for credit. Open to upper level and graduate students.
  
  • REL 6000 - Comparative Religion Professional Seminar


    A systematic study of the most important works in the subfields of comparative religion represented by department faculty. This course will introduce students to issues in and the history of the field of the academic study of religion and prepare them for further course work within the field.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • REL 6100 - Theory and Method


    An examination of the major theoretical options for understanding and explaining religion in comparative perspective and the major methods employed by theoreticians in their development of such theoretical options. Particular attention will be paid to intellectualist, symbolist, and structuralist, ideological, emotivist, and cognitive method and theory.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • REL 6150 - Pedagogy: Teaching World Religions


    While learning the content of individual religious traditions and exploring the comparative questions between/among traditions, students will focus on the issues of teaching about religion generally and the problematics of presenting individual traditions. Students will learn how to prepare syllabi, interact with students, and construct exams and assignments. This course will balance content of religious traditions and pedagogical techniques as a way of preparing students to teach basic courses in religion.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • REL 6200 - Advanced Writing Seminar in Religion


    Advanced study on questions of comparative research on religion with a focus on developing graduate-level writing skills and preparing a writing portfolio.

    Prerequisites/Corequisites: Prerequisite: Instructor approval.

    Credits: 3 hours

    Notes: May be repeated for credit when topics vary. Open to graduate students only.
  
  • REL 6500 - Spirituality and Health: Survey of the Field


    Advanced study of the important factors in design and implementation of research on spirituality and health and research literacy including research ethics and disciplinary viewpoints. The second section of the course is offered in two tracks. Students can select examining controversies, ethical considerations, and disciplinary viewpoints in clinical approaches or develop a research proposal.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • REL 6950 - Dissertation Tutorial


    Planning and preparation for the dissertation, including selection of an appropriate topic. The student will work with an advisor to develop a dissertation proposal to be submitted to his/her Ph.D. committee. The tutorial will entail preparation of a preliminary bibliography, readings in basic sources and examination of the ideas and materials related to the subject, selection of essential sources, and sketching of the dissertation outline. (This course is a prerequisite for REL 7300, Doctoral Dissertation).

    Prerequisites/Corequisites: Prerequisite: Depratment approval

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • REL 7000 - Master’s Thesis


    Please refer to the Graduate College section for course description.

    Prerequisites/Corequisites: Prerequisite: Department and Graduate College approval.

    Credits: 1 to 6 hours

    Notes: May be repeated for credit. Graded on a Credit/No Credit basis. Open to graduate students only.
  
  • REL 7100 - Independent Research


    Please refer to the Graduate College section for course description.

    Prerequisites/Corequisites: Prerequisite: Department approval.

    Credits: 2 to 6 hours

    Notes: May be repeated for credit. Graded on a Credit/No Credit basis. Open to graduate students only.
  
  • REL 7120 - Professional Field Experience


    Please refer to the Graduate College section for course description.

    Prerequisites/Corequisites: Prerequisite: Department approval.

    Credits: 2 to 12 hours

    Notes: May be repeated for credit. Graded on a Credit/No Credit basis. Open to graduate students only.

Computer Information Systems

  
  • CIS 5550 - Topics in Computer Information Systems


    Special topics appropriate to business applications such as data base management systems, structured concepts, networking, programming documentation and efficiency, planning, organizing and directing management information systems.

    Prerequisites/Corequisites: Prerequisite: Instructor approval.

    Credits: 3 hours

    Restrictions Restricted to master’s in Business Administration.
    Notes: May be repeated for credit. Open to upper level and graduate students.
  
  • CIS 5650 - Big Data Analytics


    This course introduces students to the concept of big data, Hadoop (the industry standard for big data), and its ecosystems (i.e., the supporting software that enhances the core Hadoop system or bridge the core system with other existing systems in use). The course will focus on how to leverage the big data analytics to make better business decisions. It teaches students the skills to manipulate and analyze big volumes of data, which usually is not easily possible with traditional systems. There will be a lot of hands-on exercises in class.

    Prerequisites/Corequisites: Prerequisite: CIS 4610 or instructor approval.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CIS 6000 - Seminar in Computer Information Systems


    Intensive problem solving in the area of computer information systems.

    Prerequisites/Corequisites: Prerequisite: Admission to the MBA or MSA program or the approval of the MBA advisor.

    Credits: 3 to 4 hours

    Notes: May be repeated for credit. Open to Graduate students only.
  
  • CIS 6300 - Business Data Management


    The focus of this course is Business Data Management. Students learn relational database design, management, administration, implementation, data security, and data migration (ETL). Students are introduced to the Big Data concept and NoSQL database. Database software such as Microsoft SQL Server, MongoDB, and related business intelligence and development tools may be used.

    Prerequisites/Corequisites: Prerequisite: Admission to the MBA, MSA or MS in Cybersecurity program or the approval of the Graduate advisor.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CIS 6400 - Business Analytics


    This course is designed to give students comprehensive analytical skills. The need for historic and predictive analytics in the health care industry will be examined. Health care data from multiple sources will be integrated, manipulated, aggregated, and filtered. Students will experience dashboard software, and use both predictive models and automated processes to advance data examination and interpretation.

    Prerequisites/Corequisites: Prerequisite: Admission to the MBA or MSA program or the approval of the MBA advisor.

    Credits: 3 hours

    Notes: Open to Graduate students only.
  
  • CIS 6620 - Business Project Management


    This course examines the concepts, techniques, methodologies and tools for an effective management of business, personal, information technology, and other types of projects. Students will learn the skills to define project scope, create project plans, and manage key aspects of projects around the phases of project life cycle. The course involves lectures, discussions, small-group work and other exercises.

    Prerequisites/Corequisites: Prerequisite: Admission to the MBA, MSA, MS in Cybersecurity, or MS in Supply chain Management or the approval of the Graduate advisor.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CIS 6640 - Predictive Analytics and Data Mining


    This course provides students with an understanding of analytical techniques from business analytics, business intelligence and data mining to make practical business predictions and other data-driven decisions. Students will learn a variety of techniques to perform predictive and other forms of analytics, including data preparation, classification, prediction, clustering, regression, association, cross validation, performance evaluation, anomaly detection, etc. Practical real life data (numeric and text) will be analyzed.

    Prerequisites/Corequisites: Prerequisite: Admission to the MBA or MSA program or the approval of the Director, Graduate Advising and Admissions.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CIS 6660 - Information Security Operations Management


    This course explores the major challenges in managing a secure production environment. Mitigation of both external and internal threats, as well as planning, addressing, and recovering from security incidents via systematic processes are covered in detail. Topics such as asset management, access and identity management, backup management, data availability and recovery, and patch management will be addressed in diverse organizational contexts to include both physical and virtual components. Developing and implementing Disaster Recovery Plans and Business Continuity Plans, as well as other techniques designed to insure continuity and security of operations will be discussed. This course will provide professionals with the requisite background to administer and manage people, data, media, hardware, and protect against the multitude of threats and attacks in a production environment.

    Prerequisites/Corequisites: Prerequisite: Admission to the MBA, MSA or MS in Cybersecurity program or the approval of the Graduate advisor.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CIS 7100 - Independent Research


    Please refer to The Graduate College section for course descriptions.

    Prerequisites/Corequisites: Prerequisite: Application and department approval.

    Credits: 2 to 6 hours

    Restrictions Restricted to MBA or MSA students.
    Notes: May be repeated for credit. Graded on a Credit/No Credit basis. Open to Graduate students only.
  
  • CIS 7120 - Professional Field Experience


    Please refer to The Graduate College section for course descriptions.

    Prerequisites/Corequisites: Prerequisite: Department approval.

    Credits: 2 to 12 hours

    Restrictions Restricted to MBA or MSA students.
    Notes: May be repeated for credit. Graded on a Credit/No Credit basis. Open to Graduate students only.

Computer Science

  
  • CS 5250 - Computer Architecture


    General topics in computer architecture, memory systems design and evaluation, pipeline design techniques, RISC architectures, vector computers, VLSI systems architecture.

    Prerequisites/Corequisites: Prerequisites: (CS 2230 or ECE 2510) and CS 3310, with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5260 - Parallel Computations


    Architecture, synchronization and communication aspects of parallel and distributed systems. This course will focus on the design and analysis of parallel algorithms with a prototype treatment on current machines. The algorithms may include parallel sorting, combinatorial search, graph search and traversal, applications in graphics, 2-d finite differences, 2-d finite element techniques, matrix algorithms and the Fast Fourier Transform.

    Prerequisites/Corequisites: Prerequisite: CS 3310 with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5270 - Computer Graphics


    An introduction to modern computer graphics systems. Topics covered include graphics hardware, two- and three-dimensional geometry and transformations, rendering, shading, texturing, raster and vector graphics, and modeling with curves and surfaces. Students will learn basic concepts and techniques in interactive computer graphics with emphasis on modern graphics programming.

    Prerequisites/Corequisites: Prerequisite: CS 3310 with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5300 - Artificial Neural Systems


    An introduction to neural net concepts, algorithms, and applications. A history of neural nets will be presented along with some discussion of models of biological neural systems. The salient features of a neural net (architecture, activation functions, weighting scheme) will be characterized. Standard algorithms will be presented including Hopfield nets, linear associative models, bidirectional associative memories, and adaptive resonance models. The student will use neural net software to experiment with standard models and to develop an application for a project.

    Prerequisites/Corequisites: Prerequisite: CS 3310

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5310 - Algorithms


    This course is a continuation of the study of data structures and algorithms, emphasizing methods useful in practice. It provides a theoretical foundation in designing algorithms as well as their efficient implementations. The focus is on the advanced analysis of algorithms and on how the selections of different data structures affect the performance of algorithms. Topics covered include: sorting, search trees, heaps, and hashing; divide-and-conquer; dynamic programming; backtracking; branch-and-bound; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; and parallel computing. It comprises four hours of lecture and recitation experience every week.

    Prerequisites/Corequisites: Prerequisite: CS 3310 with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 5400 - Design of User Interfaces


    An introduction to the specification, development, and evaluation of user interfaces. This course provides an overview of human capabilities, technological possibilities, interaction design, and interface evaluation. The course presents both the theoretical foundations of interaction design and practical case studies of good and bad interface design. During the course, students will design and test one or more interfaces.

    Prerequisites/Corequisites: Prerequisite: CS 3310 with a grade of “C” or better or permission of instructor.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5430 - Database Systems


    An introductory course on relational database design, query and programming. Topics include relational model, relational algebra, conceptual design using entity-relationship model, functional dependency and normal forms, SQL, constraints and triggers, indexes, views, authorization, stored procedures, database programming, and transactions. Other topic include object-relational data model and an overview of database management system implementations. Students will get experience on how to design and use a relational database. A student may not receive credit for both CS 4430 and CS 5430.

    Prerequisites/Corequisites: Prerequisite: CS 3310 with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5541 - Computer Systems


    A review course offered to first-year graduate students to quickly develop foundation in computer systems. It reviews and reinforces basic concepts and techniques in computer architecture, operating systems and databases. Topics covered include: binary data representation, assembly, memory hierarchy, parallelism in computer architecture; processes and threads, scheduling, concurrency, memory management, I/O, file system in operating systems; and relational model, SQL, application development in databases. The course aims to strengthen student programming skills through intensive lab assignments. It comprises four hours of lecture and recitation experience every week.

    Prerequisites/Corequisites: Prerequisites: CS 3240 or (CS 2240 and CS 3310), with a grade of “C” or better in all prerequisites.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 5550 - Computer Networks and Distributed Systems


    The design and evaluation of computer networks using current hardware and software are explained. Various types of computer buses, local area networks, and long haul networks are defined. Case studies of popular networks are presented. Layered network models are studied. There is lab work with local area and long haul networks.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5560 - Network Programming


    This course will cover the fundamental aspects of computer network programming, with emphasis on the Internet. The goal of this course is to introduce the students to the basics of distributed application developments. Students will be introduced to building application protocols using UDP, TCP and secure sockets programming. Students will also be introduced to multi-tier application development (presentation/client tier, application tier, data tier) and RPC technologies including: RMI, EJB, and Web Services. The course will focus on web application development using XHTML, JavaScript, CSS, AJAX, Java Servlets, JSP, and JSF.

    Prerequisites/Corequisites: Prerequisite: CS 3310

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
    When Offered: Spring
  
  • CS 5610 - Advanced R Programming for Data Science


    This course provides the student with an advanced understanding of the R system. It prepares the student for effective usage of and program development in the R system at the graduate level. This includes: a deep understanding of functional programming in R and R objects, and how to develop reliable R programs. R graphics for interactive data exploration, producing publication quality graphics and producing web-based graphics will also be covered. This course will be very small team project oriented.

    Credits: 4 hours

    Notes: Open to seniors and graduate students.
  
  • CS 5700 - Computer Security and Information Assurance


    This course is an introduction to computer/network security and information assurance. The topics include cryptographic techniques; network security - threats, controls, and tools; program security; and legal, ethical and privacy issues in computer security. Students will learn fundamental concepts of security applicable to computer programming and computer system design. Assignments will improve students’ practical skills in using computer networks and systems.

    Prerequisites/Corequisites: Prerequisite:  CS 5550 with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5750 - Secure Software Development


    This course covers the theory and practice of software security, focusing on common software security risks for systems software including identification of potential vulnerabilities and coding principles to avoid security holes in new software. The course covers essential guidelines for building secure software through secure coding, access control, data integrity, and confidentiality.

    Prerequisites/Corequisites: Prerequisites: CIS 5710 and CS 5710.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5800 - Theory Foundations


    This course covers the theory of computer science emphasizing automata, grammars and their applications in the specification of languages and computer systems, models of computation, and complexity. Analytic and problem-solving abilities will be reinforced, and concepts covered in the course will be applied to real-world problems. It comprises four hours of lecture and recitation experience every week.

    Prerequisites/Corequisites: Prerequisite: CS 3310 with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5810 - Compiler Design and Implementation


    The design and implementation of programming language translation. Topics include: lexical analysis, parsing, intermediate representations and code generation. A major project is required.

    Prerequisites/Corequisites: Prerequisite: CS 4800 or CS 4850 or CS 5800, with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5820 - Artificial Intelligence


    This course covers basic AI techniques and concepts including rule-based systems, intelligent search, heuristics, knowledge representation and reasoning, predicate logic and pattern recognition. It introduces several AI application areas such as learning, vision, natural language processing, games, and expert systems.

    Prerequisites/Corequisites: Prerequisite: CS 3310 with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5821 - Machine Learning


    The course will cover both theory and practice, applying a variety of Machine Learning techniques and models using available tools on large widely available data sets. R will be presumed, but Python and Numpy/Scipy will be used freely, as well as the natural language tools available in Python. Feature selection, model choices and relative performance measures will be presented within a Bayesian framework.

    Prerequisites/Corequisites: Prerequisites: MATH 2300 and (CS 3100 or CS 3310). A grade of “C” for undergraduates and “B” for graduates needed in prerequisite courses.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5950 - Advanced Topics in Computer and Information Science


    The content of this course varies. It is intended to introduce the student to advanced topics which are normally offered as separate courses. The course may be taken more than once with approval of the student’s advisor.

    Prerequisites/Corequisites: Prerequisite: Departmental approval.

    Credits: 1 to 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 5990 - Independent Study in Computer Science


    Advanced students with good scholastic records may elect to pursue independently the study of some topic of special interest. Topics are chosen and arrangements are made to suit the needs of each particular student.

    Prerequisites/Corequisites: Prerequisite: Departmental approval.

    Credits: 1 to 3 hours

    Notes: Open to upper level and graduate students.
  
  • CS 6030 - Studies in Computer Science


    Advanced work organized around varying topics in computer science. Students may take this course more than once.

    Prerequisites/Corequisites: Prerequisite: Approval of department.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 6100 - Advanced Storage, Retrieval and Processing of Big Data


    The course provides the student with an advanced understanding of the issues involved in dealing with Big Data. It prepares the student for advanced handling of extremely large data sets, accessing the data, reduction of the data into a manageable size and processing the results. Students will reduce Big Data sets, use and develop R packages and other code to analyze the data and produce graphics to explore and explain the data. This course will be very small team project oriented.

    Prerequisites/Corequisites: Prerequisite: CS 3100

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 6250 - Advanced Computer Architecture


    Multiprocessor architectures, various interconnection networks, communication and synchronization techniques, data flow architectures.

    Prerequisites/Corequisites: Prerequisite: CS 5250

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 6260 - Advanced Parallel Computations


    Advanced topics in parallel computations, such as: algorithms, complexity and parallel performance in the areas of graph algorithms, numerical algorithms, computer graphics, and aspects of parallel environments and languages. Students will be expected to read research papers and complete a semester project involving the use and implementation of parallel programming paradigms on current machines.

    Prerequisites/Corequisites: Prerequisite: CS 5260 and (CS 4310 or CS 5310), a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science; masters in electrical engineering; and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6310 - Advanced Design and Analysis of Algorithms


    This course introduces students to advanced concepts for designing and analyzing algorithms. The effect of data structures on program design is investigated. The uses of data structures and algorithms in a variety of application areas are covered. Focus is on algorithmic thinking, performance guarantees and boundary cases, and efficient solutions to practical problems. Advanced topics will cover a selection of modern algorithms, and data structures, many of which come from real-world applications.

    Prerequisites/Corequisites: Prerequisite: CS 4310 or CS 5310, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6320 - Intractable Problems and Approximation Algorithms


    The course covers the theory of NP-completeness and techniques that help to apply the theory to practical problems. The model of non-deterministic Turing machines is used to classify various problems as NP (Non-deterministic Polynomial), Polynomial, NP-Complete, NP-Hard, and Pseudo-Polynomial. Problems in various computer science areas, such as scheduling, routing, compiler optimization, chip packaging, graph embedding, are used to illustrate the concepts and techniques. Effective approximation algorithms are designed and analyzed to deal with various NP-complete problems.

    Prerequisites/Corequisites: Prerequisite: (CS 4310 or CS 5310) and CS 5800, a grade or “B” of better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6430 - Database Management System Implementation


    A study of implementation techniques in database management systems. Topics include database system architecture, file organization and access methods, indexing, buffer management, performance analysis, query processing and optimization, concurrency control, transaction management, reliability, recovery, physical design and database tuning. Other topics include data warehousing, distributed and parallel databases.

    Prerequisites/Corequisites: Prerequisites: CS 5430 or CS 5541, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6530 - Data Mining


    Introduces fundamental concepts, techniques, algorithms, and systems for data mining in databases. Topics include data pre-processing, data warehousing and online analytical processing, association mining, data classification, data clustering, and visual data exploration.

    Prerequisites/Corequisites: Prerequisites: CS 5310 and CS 5541, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 6550 - Advanced Operating Systems


    Advanced and current topics in operating systems research. Analysis of competing techniques will be undertaken to present a better understanding of tradeoffs in design decisions. Modeling and performance evaluation will also be presented. A detailed and theoretical view of the basic operating system concepts will be emphasized. Programming assignments involving simulation and performance evaluation will be required.

    Prerequisites/Corequisites: Prerequisites: (CS 44310 or CS 5310) and CS 5541, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6560 - Advanced Computer Networks: Anatomy of the Internet


    This course will cover the practical aspects of computer networks, with emphasis on the Internet. Various aspects of computer networking will be covered including: alternative link-layer, network layer, and transport-layer technologies, LAN/WAN technologies, topologies, traffic analysis, congestion/flow control, routing, internetworking, multicast, and Quality of Service (QoS). The goal of this course is to introduce the students to state-of-the-art network protocols and architectures. We will introduce the students to networking research and guide them to investigate novel ideas in the area via semester-long research projects. We will also look at industry trends and discuss some innovative ideas that have recently been developed. Some of the course material will be drawn from research papers, industry white papers and Internet RFC’s.

    Prerequisites/Corequisites: Prerequisite:  CS 5550 or Instructor approval.

    Credits: 3 hours

    Notes: Open to graduate students only.
    When Offered: Every other Fall
  
  • CS 6570 - Wireless Networks


    This course will cover the fundamental aspects of wireless networks, with emphasis on current and next-generation wireless networks. Various aspects of wireless networking will be covered including: fundamentals of cellular communication, mobile radio propagation, multiple access techniques, mobility support, channel allocation, Wireless PAN/LAN/MAN standards, mobile ad-hoc networks, wireless sensor networks, and routing in wireless and mobile networks. The goal of this course is to introduce the students to state-of-the-art wireless network protocols and architectures. We will introduce the students to wireless networking research and guide them to investigate novel ideas in the area via semester-long research projects. We will also look at industry trends and discuss some innovative ideas that have recently been developed. Some of the course material will be drawn from research papers, industry white papers and Internet RFC’s.

    Prerequisites/Corequisites: Prerequisite:  CS 5550 or instructor approval.

    Credits: 3 hours

    Notes: Open to graduate students only.
    When Offered: Every other Fall.
  
  • CS 6580 - Pervasive Computing


    An in-depth study of emerging issues in pervasive environments focusing on components that build pervasive computing systems: smart devices, smart environments, and smart services and interactions with users. Topics include smart devices and services; context-aware and intelligent systems; autonomous systems and artificial life; ubiquitous communication; and ubiquitous system challenges and outlook. This is a research oriented course with theoretical and practical research projects involving opportunistic resource utilization networks; smart office and home spaces, and sensornets. Project topics will be suggested by the instructor, or proposed by students and accepted by the instructor.

    Prerequisites/Corequisites: Prerequisite: CS 5541 or CS 5550 (or equivalent course accepted by the instructor), a grade of “B” or better is required to satisfy any course prerequisite.           

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 6600 - Software Engineering


    This course introduces software life cycles with the concentration on software design and implementation. Students will apply various techniques and tools to design and implement a software system. Examples and exercises illustrating the use of several techniques and tools will be given. Student teams will be expected to complete a large project using one of the techniques/tools presented.

    Prerequisites/Corequisites: Prerequisite: CS 5310, a grade of “B” or better is required to satisfy any course prerequisite.   

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6610 - Software Testing


    Students will learn practical ways to design high quality tests during various phases of software development. Students learn the theory behind criteria-based test design and to apply the theory in practice. Topics include test design, test automation, test coverage criteria, and how to test software in state-of-the-art software development environments.

    Prerequisites/Corequisites: Prerequisite: CS 5310, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6700 - Advanced Computer and Information Security


    This course covers advanced and current topics in selected areas of computer and information security such as the establishment of security associations, securing neighbor discovery, secure routing in multi-hop wireless networks, privacy protection, secure protocols for preventing selfish behavior in networks and systems, and trust and security in open computing systems. The course is research oriented and includes student research projects, which may be done in teams.

    Prerequisites/Corequisites: Prerequisite:  CS 5700 with a grade of “B” or better.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 6720 - Pattern Recognition


    A survey of modern methods for computer recognition of patterns in varied applications such as digital images, human speech and sound, and grammar-based sequences. Various approaches are developed, including heuristic search, Fourier analysis, Markov models, template matching, and grammatical inference. Computational aspects and efficiency of different methods and algorithms are emphasized. Students must complete a project using methods developed in the course.

    Prerequisites/Corequisites: Prerequisites: (CS 4310 or CS 5310) and undergraduate-level statistics, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6800 - Advanced Theory of Computation


    The theory of computation emphasizing equivalent models of computation, properties of recursively enumerable languages, computability (decidability and semi-decidability), recursive and partial recursive functions, and complexity. The Chomsky hierarchy is also reviewed and some of the more advanced topics (than those covered in the prerequisite) are addressed. Students are expected to read research papers and complete a semester project.

    Prerequisites/Corequisites: Prerequisite: CS 5800, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6810 - Compiler Optimization


    Theory, design, and implementation of compiler optimization techniques. Topics include: intermediate representations, advanced code generation, control and data-flow analysis, dynamic compilation, global register allocation, and instruction scheduling. A major project is required.

    Prerequisites/Corequisites: Prerequisite: (CS 5541 and CS 5800) or CS 5810, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6820 - Advanced Artificial Intelligence


    Current research in one or more artificial intelligence application areas, e.g., computer vision and image processing, natural language and speech processing, expert systems, computer learning or other A.I. topics.

    Prerequisites/Corequisites: Prerequisite: (CS 4310 or CS 5310) and CS 5820, a grade of “B” or better is required to satisfy any course prerequisite.

    Credits: 3 hours

    Restrictions This course is restricted to the following: masters and doctorates in computer science, masters in electrical engineering, and doctorates in mathematics.
    Notes: Open to graduate students only.
  
  • CS 6821 - Information Retrieval


    This course presents an in-depth examination of the theoretical foundation and practical considerations in the design, development, implementation, and evaluation of tools for managing and accessing large collections of documents. There is an emphasis on the World Wide Web, which is the most visible use case of IR. Explicit references are made to meaningfully relate IR theory and practice with AI and ML. Students exposed to the cutting-edge of IR research, illustrated with several use cases that they can relate to (e.g., news summarization).

    Prerequisites/Corequisites: Prerequisite: CS 3500 with a grade of “C” or better.

    Credits: 3 hours

    Notes: Open to graduate students only.
  
  • CS 6910 - Seminar in Computer Science


    Seminar in Computer Science.

    Credits: 1 to 3 hours

    Notes: Open to graduate students only.
  
  • CS 6970 - Master’s Project


    Students will work on a special project in a computer science area. A technical report on the results of each student’s project must be approved by the course instructor and published as a departmental technical report.

    Prerequisites/Corequisites: Prerequisites: Graduate level competency in computer science and the subject areas of the project. Approval of the instructor and the department required.

    Credits: 2 to 6 hours

    Notes: Open to graduate students only. Graded on a Credit/No Credit basis. Credit cannot be used for both CS 6970 and CS 7000 in a student’s master’s program.
  
  • CS 7000 - Master’s Thesis


    Please refer to The Graduate College section for course description (GRAD 7000).

    Prerequisites/Corequisites: Prerequisite: Approved application from department and Graduate College.

    Credits: 1 to 6 hours

    Notes: Graded on a Credit/No Credit basis. May be repeated for credit. Open to graduate students only.
  
  • CS 7100 - Independent Research


    Please refer to The Graduate College section for course description (GRAD 7100).

    Prerequisites/Corequisites: Prerequisite: Approved application.

    Credits: 2 to 6 hours

    Notes: Graded on a Credit/No Credit basis. May be repeated for credit. Open to graduate students only.
  
  • CS 7120 - Professional Field Experience


    Please refer to The Graduate College section for course description (GRAD 7120).

    Prerequisites/Corequisites: Prerequisite: Approved application.

    Credits: 2 to 12 hours

    Notes: Graded on a Credit/No Credit basis. May be repeated for credit. Open to graduate students only.
  
  • CS 7250 - Doctoral Research Seminar


    Please refer to The Graduate College section for course description (GRAD 7250).

    Prerequisites/Corequisites: Prerequisite: Approved application.

    Credits: 2 to 6 hours

    Notes: Graded on a Credit/No Credit basis. May be repeated for credit. Open to graduate students only.
  
  • CS 7300 - Doctoral Dissertation


    The Doctoral Dissertation is required in all doctoral programs and is completed under the supervision of a dissertation committee. Prior to the first registration in 7300, Doctoral Dissertation, a Permission to Elect form (available at http://wmich.edu/grad/forms) must be completed and approved by the Dissertation Specialist in the Graduate College so that the student is informed about the regulations pertaining to the preparation and publication of the manuscript and to the requirements for research involving regulated subjects and hazardous materials, and to ensure the student is in good standing. Doctoral dissertations involving research with protected or regulated subjects must include documentation indicating compliance with federal, state, and University requirements for the protection of human/animal subjects or appropriate use of genetic or radioactive materials and chemical hazards. Written approval from the board/committee/official must be included as an appendix to the dissertation. The use of Guidelines for the Preparation of Theses, Projects, and Dissertations is required. This publication is available for downloading at wmich.edu/grad/current-students/. A doctoral dissertation varies in credit from a minimum of 12 credit hours to a maximum of 24 credit hours. The hours required in a program of study are determined by the student’s department; a department may require all students within the program to register for a specific, common total of hours between 12 and 24, or a program may require different students within the program to register for a variety of total hours between 12 and 24. The course 7300, Doctoral Dissertation, may be registered for in increments of one or more hours. Following a student’s first enrollment in 7300, the student must have continuous enrollment in 7300 until all dissertation requirements are completed satisfactorily and approved by the appropriate bodies. A student unable to complete the dissertation within the program-stipulated hours will be required to continue to enroll in 7300; however, only the program-stipulated hours for 7300 will count toward meeting the program requirements for the doctoral degree. For students not enrolled in Summer I and Summer II sessions, pre-enrollment in the subsequent Fall semester is necessary for access to library resources during Summer I and Summer II. Continuous enrollment is defined as enrollment in all Fall and Spring semesters from the initial enrollment to the semester in which the student graduates. If the student will graduate in Summer I or Summer II, the student must be enrolled in that session. The dissertation is graded on a Credit/No Credit basis.

    Prerequisites/Corequisites: Prerequisite: Approved application from department and Graduate College.

    Credits: 1 to 15 hours

    Notes: Graded on a Credit/No Credit basis. May be repeated for credit. Open to graduate students only.
  
  • CS 7350 - Graduate Research


    Please refer to The Graduate College section for course description (GRAD 7350).

    Prerequisites/Corequisites: Prerequisite: Approved application.

    Credits: 2 to 10 hours

    Notes: Graded on a Credit/No Credit basis. May be repeated for credit. Open to graduate students only.

Counselor Education and Counseling Psychology

  
  • CECP 5200 - Foundations of Rehabilitation Counseling


    This course surveys the role of the rehabilitation counselor in establishing eligibility, planning services, the tracking system, counseling, case management, work evaluation, work adjustment, supported employment, transition, client assistance programs, job analysis, job development, postemployment, and advocacy. Major emphasis is given to the operation of the state vocational/federal system.

    Credits: 3 hours

    Notes: Open to upper level and graduate students.
  
  • CECP 5830 - Workshops in Counselor Education and Counseling Psychology


    Workshops designed to enhance skill development related to Counselor Education and Counseling Psychology practices. Open to all students, but is not intended for counseling majors.

    Credits: 1 to 4 hours

    Notes: May be repeated for credit. Open to upper level and graduate students.
  
  • CECP 6010 - Research Methods


    The study of research designs and techniques utilized in the field of Counselor Education and Counseling Psychology. Students are expected to formulate and submit a research project in their area of specialization.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6020 - Group Dynamics and Procedures


    The study of group dynamics, i.e., the nature of groups and the laws affecting group development and process. An analysis of the various group procedures and the process associated with these procedures.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6030 - Tests and Measurement


    Designed to develop skills in analyzing, scoring, administering, and interpreting standardized tests. Students will examine selected aptitude, achievement, intelligence, personality and vocational instruments, as well as analyze their use in the student’s area of specialization. Issues related to testing will be reviewed, including legal matters, ethical concerns, and use of tests with persons of varying social, economic, cultural, and ethnic backgrounds.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6040 - Counseling Techniques


    An introductory laboratory study of the concepts and skills required in interviewing and counseling. In addition to developing basic techniques and skills, special attention will be given to the impact of interview settings, interviewer/counselor attire, sex, ages of clients, and their social, economic, cultural, and ethnic backgrounds.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission. Graded on a Credit/No Credit basis.
  
  • CECP 6050 - Professional Issues and Ethics


    Identification and discussion of issues in counseling, psychological services, and related programs will be the focus of this course. The study of ethical standards of relevant professional organizations. A presentation of case studies applicable to an understanding of current issues, multicultural concerns, legal decisions, and ethics in the field.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6070 - Multicultural Counseling and Psychology


    This course is designed to help students develop knowledge, skills, and attitudes for more effective work as helping professionals with culturally different groups and individuals. Substantial attention is given to interpersonal issues, concerns related to different cultures, and programming in a variety of settings.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6080 - Counseling and Life Span Development


    The course addresses counseling implications for assessing and enhancing human development across the lifespan. The content includes: (a) theories of human development; (b) theories of learning and personality development; (c) human behavior, including an understanding of developmental crises, disability, exceptional behavior, addictive behavior, psychopathology, and situational and environmental factors that affect both normal and abnormal behavior; (d) the stages of family development; and (e) strategies for facilitating optimum development over the life span.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6100 - Career Development: Theory and Practice


    Course content includes: (1) a study of the world of work as it impacts the psychological and sociological life of the individual; (2) an examination of career development theory, decision-making, and the application to counseling and psychotherapy; (3) the identification of informational resources related to career choice; and (4) an exploration of the needs and concerns of clients from a variety of cultural backgrounds.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6110 - Theories of Counseling


    The nature, rationale, development, research and use of theories in counseling are studied. Major points of view including the psychoanalytic, cognitive, behavioral, phenomenological, existential, and family systems perspectives are studied and compared. Models of counseling that are consistent with current professional research and practice in the field and application of theory and intervention strategies to case studies are included.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6120 - Counseling Practicum


    This course emphasizes practical work in the student’s area of specialization. Counseling experiences are provided in a laboratory setting so that students can apply knowledge and skills acquired during previous studies. Each student, by participation and observation, will be expected to work with clients from differing social, economic, cultural, and ethnic backgrounds.

    Credits: 1 to 4 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission. May be repeated for credit. Graded on a Credit/No Credit basis.
  
  • CECP 6130 - Field Practicum


    A supervised field placement in a setting appropriate to the student’s M.A. option arranged in consultation with advisor and department coordinator. A minimum of 600 clock hours on site are required for all M.A. options.

    Prerequisites/Corequisites: Prerequisite: Consent of advisor.

    Credits: 1 to 6 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission. Graded on a Credit/No Credit basis.
  
  • CECP 6210 - Psychopathology: Classification and Treatment


    Basic concepts of history, current paradigms, and assessment of psychopathology with special emphasis on the APA diagnostic classification system and counseling/clinical approaches to treatment.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6220 - Psychoeducational Consultation


    A study of the process of consultation with emphasis upon methods, stages and strategies used with individuals, small groups and organizations. Consideration will be given to the consultant’s role in psycho-affective education and primary prevention.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6230 - College Student Development


    Explores the nature and development of college students pertaining to student affairs. Theories of college student development, administrative strategies and techniques of program implementation are studied.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6280 - Foundations of Clinical Mental Health Counseling


    This course provides an overview of professional clinical mental health counseling including historical perspectives; ethical and legal issues; licensure, certification, and other credentialing; as well as rules and functions of clinical mental health counselors. Students will have opportunities to interact with mental health counselors, assess community mental health needs, and learn about the organization and function of mental health agencies. Additionally, counseling implications for working with racial minority and other disenfranchised groups will also be discussed.

    Prerequisites/Corequisites: Prerequisites: CECP 6030 and CECP 6110.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6290 - Organization and Principles of Elementary School Guidance


    A thorough investigation of philosophical concepts and principles underlining counseling and pupil personnel programs in elementary schools. The history, organization, and administration of the program services are surveyed and practical application of concepts are required.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6340 - Causes of Substance Abuse


    This course will examine the three major theories that explain the causes of psychoactive substance use: the biological, psychological, and sociological. The historical responses of society to substance use such as strategies including control, prevention, intervention, and treatment will be outlined and the research of various epidemiologic patterns and social correlates of substance use will also be studied.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students only. Graduate students from other programs may enroll by special permission.
    Cross-Listed: Cross-listed with ADA 6060 and SWRK 6530. A student may receive credit for only one of CECP 6340, ADA 6060, or SWRK 6530.
  
  • CECP 6350 - Foundations of College Counseling


    This course explores college counseling as a profession, examines the diverse characteristics of today’s college students, and details the variety of roles and services provided by college counselors. It provides an overview of the holistic, developmentally-based professional of college counseling.

    Credits: 4 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate students only. Graduate students from other programs may enroll by special permission.
  
  • CECP 6360 - Recovery Oriented Systems of Care


    This course will examine the understanding that recovery from substance abuse and dependency is a process of change which occurs within a systemic model of care that includes prevention, intervention, treatment, and management of substance use disorders. Students will have exposure to various substance abuse screening and assessment instruments, counseling strategies, and treatment modalities in order to assess, treat, and refer to the appropriate service providers along the continuum of care. This course will also provide students with an understanding of the ethical codes related to substance abuse counseling.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students only. Graduate students from other programs may enroll by special permission.
    Cross-Listed: Cross-listed with ADA 6340 and SWRK 6550. A student may receive credit for only one of CECP 6360, ADA 6340, or SWRK 6550.
  
  • CECP 6370 - Organization and Principles of a Comprehensive School Counseling Program


    The purpose of this course is to enable students to understand, apply, and formulate a comprehensive school counseling program. In particular the history, philosophy, role, function, organization, administration, and development of school counseling will be examined in depth so that the counselor in preparation will have the necessary skills to assume an entry-level position as a professional school counselor.

    Credits: 3 hours

    Restrictions Restricted to Counselor Education and Counseling Psychology graduate students only. Graduate students from other programs may enroll by special permission.
    Notes: May be repeated for credit. Open to Graduate students only.
  
  • CECP 6380 - School Counseling for Postsecondary and Career Readiness


    The purpose of this course is to enable students to understand, apply, and formulate programs of guidance as they apply to postsecondary planning and career readiness. This course is designed for pre-service school counselors to develop an understanding of the role of the school counselor, especially as this relates to developing a college-going and career readiness culture for all students, particularly students in poverty or facing other barriers in postsecondary planning. This course includes a focus on engaging students in early career awareness, planning, and making informed postsecondary choices. Students will learn about the usefulness of data to guide academic planning, and the steps involved for transitioning students from middle school to high school, and then to postsecondary training and college. This course also includes topics that relate to postsecondary planning, including financial literacy, financial aid, completing FAFSA’s, and the college admission process.

    Credits: 3 hours

    Restrictions Restricted to Counselor Education and Counseling Psychology graduate students only. Graduate students from other programs may enroll by special permission.
    Notes: May be repeated for credit. Open to Graduate students only.
  
  • CECP 6390 - Co-Occurring Disorders and Addictions


    This course will instruct students on how to screen for co-occurring disorders with various assessment tools, address each diagnosis in a comprehensive treatment approach, and assist them in developing skills to deliver supportive, appropriate treatment services for clients with more than one disorder.

    Credits: 3 hours

    Restrictions Restricted to Counselor Education and Counseling Psychology students only. Students from other programs may enroll by special permission.
    Notes: Open to graduate students only.
    Cross-Listed: Cross-listed with ADA 6400. A student may not receive credit for both CECP 6390 and ADA 6400.
  
  • CECP 6450 - Practicum in Human Resources Development


    This course is a supervised practicum integrated with a class meeting component. Students work together on human resources development projects with real clients in the Kalamazoo area. The bulk of work takes place in the field, in project work and client contact. Class meeting sessions will be spent in project reviews and group problem solving. Students will develop consultation skills and gain experience in solving HRD application problems.

    Credits: 3 hours

    Notes: Open to Counselor Education and Counseling Psychology Graduate Students Only. Graduate students from other programs may enroll by special permission.
 

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