Basic foundations in computer concepts. Topics include: hardware, software, uses of technology in industry, and ethical, and social issues. Lab work covers various systems and applications software including word processing, e-mail, the Internet, spreadsheets, databases, and presentation software. Cannot be counted toward any major or minor offered by Computer Information Science.

Prerequisites:

Goal Areas: GE-09, GE-13

Introduction to the personal computer as a productivity tool for business majors. Using Microsoft Office suite, students learn to be productive with document processing, spreadsheets, electronic presentations, and databases. Cannot be used toward any major or minor in Computer Information Science.

This course uses health humanities storytelling to prepare students with a sincere concern for human values within the capture, management, and evaluation of health information. Students will explore the synergy between health related data, healthcare informatics, and outcome measures. Students will gain fundamental information technology skills to understand and critique data, identify relationships between visual arts and written works regarding health, and explore cultural aspects of healthcare experiences and risk adjustment of quality outcome measures.

Goal Areas:

GE-06, GE-07

Diverse Cultures:

Purple

This course introduces and explores seven big ideas of computer science. Students will develop computational thinking skills vital for success across all disciplines, including algorithmic creativity, data abstraction, and modeling and simulation.

Goal Areas:

GE-04

This course provides conceptual and logical tools for students planning to major in a computing-based major. Programming in a high-level language such as C++, Python, or Java, and the development of skills in abstraction, problem-solving, and algorithmic thinking are emphasized.

Prerequisites:

MATH 112 or MATH 113 or MATH 115 or MATH 121

This course is a continuation of CIS 121. Students develop a basic knowledge of programming skills and object-oriented concepts, and use fundamental data structures such as lists, stacks, queues, and trees.

Prerequisites:

MATH 113 or MATH 115 or MATH 121; and CS 110 or CIS 121 or IT 210

This course reviews basic programming concepts such as data types and variables, loops, functions, input/output and visualization. Students become prepared to produce larger, more complex applications. A strong emphasis on problem-solving as students explore how programming concepts are applied to scenarios drawn from healthcare and other domains. Students develop programming skills necessary to implement data structures, exception handling, and object-oriented concepts. Students are also introduced to incremental program development, testing, and debugging.

Prerequisites:

Select One: MATH 113, MATH 115, MATH 121, MATH 180. Select One: CS 110, CIS 121

This course introduces students to assistive technology and its applicability to people with various disabilities. Hardware and software demonstrations with an emphasis placed on inexpensive and readily available solutions. Extensive use of the Internet will be employed to keep current with latest technology and to facilitate a continuing dialogue with instructor.

Students prepare written summaries and oral presentations related to the complex social and ethical issues associated with computers. Through thoughtful questions, informative readings, and the analysis of opposing viewpoints, participants gain insight into the complexity of technology-related issues in a world without clearly defined borders.

Prerequisites:

Goal Areas: GE-09, GE-13

This course builds on CS 122 (Data Structures) with coverage of advanced data structures and associated algorithms, including trees, graphs, hashing, searching, priority queues, and memory management. Formal proof techniques, the analysis of best, worst, and expected cases, and the development of efficient algorithms are emphasized. Use of effect-free programming, first-class functions, and higher-order operations such as map, reduce, and filter are explored.

Prerequisites:

MATH 121 and CS 111 or CIS 122 or IT 214

This course presents historical and current concepts and implementations of computer organization. Topics include instruction set design, digital storage, performance metrics, processor datapath and control, pipelining, memory hierarchy, busses and I/O interfacing, and parallel processors.

Prerequisites:

CS 111 or CIS 122or IT 214

Special topics not covered in other 100- and 200-level courses. May be repeated for each new topic.

Business application development using a non-object oriented programming language. Emphasis on principles of application programming such as control breaks, read a record/write a line, driver, shared sub-routines, pass by reference, and sub-programming. File concepts emphasized include index-sequential file handling, CRUD, heap files, sorting, transaction, and master files. Programming concepts include input-processing-output definitions, understanding requirements, structure charts, program documentation, and programming standards. Large group project is completed during semester.

Prerequisites:

CIS 122

Introduction to database systems, entity relationship models, relational algebra, database design, data modeling, normalization, and conversion of business rules into relational model. Introduction to basic SQL including subqueries, joins, functions, sequences, triggers, views, and stored procedures.

Prerequisites:

CIS 121 or an approved substitute.

Security concepts and mechanisms; security technologies; authentication mechanisms; mandatory and discretionary controls; cryptography and applications; threats; intrusion detection and prevention; regulations; vulnerability assessment; information assurance; forensics; anonymity and privacy issues; disaster recovery planning, legal issues and ethics.

Prerequisites:

EE 107 or CIS 121 or an approved substitute.

This course covers basic concepts related to computer networking. Topics addressed will include the OSI model, the Internet model, network management, network protocols and data security. Prerequisite: a 3.0 or higher grade in IT 210 or an approved substitute is required.

Prerequisites:

CIS 121. Select 1: MATH 113, MATH 115, MATH 121. Or an approved substitute.

This course explores both structured as well as object oriented systems analysis and design. Use of upper and lower CASE tools are employed in the analysis, design and implementation of a team oriented term project.

Prerequisites:

CIS 122, CIS 340

Study abroad for one semester to participate in a project-based technology/media-oriented program of study. The program of study must be one approved by the student's advisor and the chair of this department.

This course introduces students to the career readiness skills needed to be successful in internships and entry-level jobs. Students will explore career pathways, prepare for a job search, gain exposure to technologies used within industry, and develop effective professional skills so they are prepared to work with diverse teams.

Curricular Practical Training: Co-Operative Experience is a zero-credit full-time practical training experience for one summer and an adjacent fall or spring term. Special rules apply to preserve full-time student status. Please contact an advisor in your program for complete information.

Prerequisites:

CIS 380

This course provides the student with a solid understanding of the principles, techniques and design patterns involved in advanced object-oriented programming. Successful students should have a distinct advantage in the marketplace.Variable

Prerequisites:

CIS 223, CIS 380

This course provides an introduction to data science, discusses opportunities and challenges associated with data science projects, and develops competencies related to data collection, data cleaning, data analysis, and model evaluation. The course focuses on hands-on exercises using data analytics tools.

Prerequisites:

CIS 223, CIS 340

Extensive coverage of SQL, database programming, large scale data modeling, and database enhancement through reverse engineering. This course also covers theoretical concepts of query processing, and optimization, basic understanding of concurrency control and recovery, and database security and integrity in centralized/distributed environments. Team-oriented projects in a heterogeneous client server environment.

Prerequisites:

CIS 380

This course covers science and study of methods of protecting data and designing disaster recovery strategy. Secure database design, data integrity, secure architectures, secure transaction processing, information flow controls, inference controls, and auditing. Security models for relational and object-oriented databases.Variable

Prerequisites:

CIS 350, CIS 440

This course introduces students to a variety of existing and emerging technologies used within healthcare environments. Emphasis will be on software used to capture clinical data and generate reports. Students will complete a team oriented project incorporating business requirements, project management, and design elements for a system implementation, system change, or reporting request.

Prerequisites:

CIS 113, CIS 340