In the information age, few things can rival a degree in Computer Science as a passkey to the industry of one's choice. From health care to sports, from public relations to publishing—every office and every company will need to call upon someone with the skills only a degree in Computer Science can provide. MTSU's program will help make you just the person to answer that call.
Founded in 2007, Women in Computer Science at MTSU is dedicated to attracting and retaining more female students to the computer science profession. All women pursuing a computer science major or minor are encouraged to join this organization.
Each year, Computer Science students successfully compete in various competitions such as the ACM Regional Programming Contest (fifth place in 2012) and the Deloitte Mobile Challenge (second and third places in 2013).
The Computer Science Department strives to produce graduates with strong problem-solving, communication and team skills who are able to design, implement and document computer software systems. Not surprisingly, such graduates have historically been valued by employers in the industry.
MTSU's Computer Science Department offers a Bachelor of Science degree with two options, the professional concentration program, accredited by the Computing Accreditation Commission of ABET, http://www.abet.org, and the business applications concentration (not accredited).
For complete curriculum details, click on the REQUIREMENTS button to the right.
Students can also choose to minor in Computer Science.
For graduate students, a broad-based Master of Science degree is offered. (A student may choose between thesis and non-thesis options.)
Our adjunct faculty bring outstanding professional experience to our programs. Many are industry leaders with decorated careers and honors. Importantly, they are innovative educators who offer hands-on learning to our students to prepare them to enter and thrive in a dynamic, and oftentimes emerging, industry and professional world. They inspire, instruct, and challenge our students toward academic and professional success.
Introduces new computer science students to the computer science major. Topics include degree requirements, faculty resources, research opportunities, and career options.
A general introduction to computers with an emphasis on personal computing, database, word processing, presentation graphics, spreadsheets, and Internet tools. Does not count for Computer Science major or minor.
Prerequisite: MATH 1730 or MATH 1810 with a grade of C or better or Math ACT of 26 or better or Calculus placement test score of 73 or better. The first of a two-semester sequence using a high-level language; language constructs and simple data structures such as arrays and strings. Emphasis on problem solving using the language and principles of structured software development. Three lecture hours and two laboratory hour.
Prerequisites: CSCI 1170 (or equivalent) with a grade of C or better and MATH 1730 or MATH 1810 with a grade of C or better or Math ACT of 26 or better or Calculus placement test score of 73 or better. A continuation of CSCI 1170. Topics include introductory object-oriented programming techniques, software engineering principles, records, recursion, pointers, stacks and queues, linked lists, trees, and sorting and searching. Three lecture hours and two laboratory hours.
Prerequisite: CSCI 3110 or consent of instructor. An opportunity for a Computer Science major or minor to gain experience and training in a secondary language. Covers the syntax, advantages, disadvantages, limitations, and selected applications of a language. Credit will not be given toward a Computer Science major or minor if credit has been received for the same language in another course. Credit in secondary computer languages is limited to 3 hours for the major or minor.
Prerequisite: CSCI 3110 or consent of instructor. An opportunity for a Computer Science major or minor to gain experience and training in a secondary language. Covers the syntax, advantages, disadvantages, limitations, and selected applications of a language. Credit will not be given toward a Computer Science major or minor if credit has been received for the same language in another course. Credit in secondary computer languages is limited to 3 hours for the major or minor.
Prerequisite: CSCI 3110 or consent of instructor. An opportunity for a Computer Science major or minor to gain experience and training in a secondary language. Covers the syntax, advantages, disadvantages, limitations, and selected applications of a language. Credit will not be given toward a Computer Science major or minor if credit has been received for the same language in another course. Credit in secondary computer languages is limited to 3 hours for the major or minor.
(Same as MATH 3080.) Prerequisites: CSCI 1170 and MATH 1910 or consent of instructor. Topics include formal logic, proof techniques, matrices, graphs, formal grammars, finite state machines, Turing machines, and binary coding schemes.
Prerequisites: CSCI 2170 and CSCI 3080 with C or better. Topics include additional object-oriented programming techniques, algorithm design, analysis of algorithms, advanced tree structures, indexing techniques, internal and external sorting, graphs, and file organizations.
Prerequisite: CSCI 2170. Assembly language and the organization and basic architecture of computer systems. Topics include hardware components of digital computers, microprogramming, and memory management. Laboratory exercises involve logical, functional properties of components from gates to microprocessors. Three lectures and one two-hour laboratory.
Prerequisite: CSCI 2170 or equivalent. Computer architecture and assembly language. Major emphasis on addressing techniques, macros, and program segmentation and linkage.
(Same as MATH 3180.) Prerequisites: MATH 1920 and CSCI 2170 or approval of instructor. Topics include series approximation, finite differences interpolation, summation, numerical differentiation and integration, iteration, curve fitting, systems of equations and matrices, and error analysis.
Prerequisites: CSCI 2170 and CSCI 3080 with C or better in both. Introduction to analysis of computer algorithms: criteria for algorithm analysis; algorithm complexity and asymptotic functions; algorithm design techniques such as recursive, divide-and-conquer, dynamic programming, greedy, backtracking, and branch-and-bound; introduction to Class P, NP, and NP-complete problems.
Prerequisites: CSCI 3110 and COMM 2200; corequisite: CSCI 3080. Syntax and theory of multiple languages covered with emphasis on binding times, parsers, grammars, finite automata, regular expressions, type checking and equivalence, scope of variables, exception handling, parameter passing, and storage management.
Prerequisites: CSCI 2170 and either CSCI 3130 or ET 3620. Provides a programmer's view of how computer systems execute programs, store information, and communicate. Topics include machine-level code and its generation by optimizing compilers, computer arithmetic, memory organization and management, networking technology and protocols, and supporting concurrent computation. Three lecture hours and one two-hour laboratory.
Prerequisite: CSCI 3240. Concepts and facilities of an operating system. Major concepts in memory, processor, device, and information management are covered as well as interrelationships between the operating system and the architecture of the computer system.
Prerequisites: A three-hour course in computing, COMM 2200, and junior standing. Introduction to the impact of computers on society and the ethical and legal issues confronting computer users and professionals. Does not count toward a minor in Computer Science.
Prerequisites: CSCI 3080, CSCI 3110, and either CSCI 3130 or CSCI 3160. The various phases of a compiler along with grammars, finite automata, regular expressions, LR parsing, error recovery, backward and forward flow analysis, and code optimization. A term project consisting of the design and construction of a functional complier required.
Prerequisites: CSCI 3110 and CSCI 3080 or consent of instructor. Topics include vector drawing displays, raster scan displays, input devices and techniques, graphics software, transformations, projections, interpolation, and approximation.
Prerequisite: Permission of instructor and department. Independent investigation of a selected research problem under the guidance of a faculty member resulting in an oral and written report of results. Does not count toward a minor in Computer Science. May be repeated for a maximum of four credits. A maximum of three credits in the major may come from CSCI 3970, 4280, CSCI 4600, and CSCI 4910.
Prerequisite: CSCI 3240 or CSCI 3250. Computer network architectures, protocol hierarchies, and the open systems interconnection model. Modeling, analysis, design, and management of hardware and software on a computer network.
Prerequisites: CSCI 3130 and CSCI 3240 or CSCI 3250. Basic concepts in parallel processing and programming in a parallel environment. Topics include classification of parallel architectures, study of actual parallel architectures, design and implementation of parallel programs, parallel software engineering.
Prerequisites: CSCI 3110 and CSCI 3080 or equivalent. Principles include search strategies, knowledge representation, reasoning, and machine learning. Applications include expert systems and natural language understanding.
Prerequisites: CSCI 3110 and CSCI 3080. Principles and applications of intelligent mobile robotics. Various architectures used in the basic AI robotics development paradigms and basic techniques used for robot navigation. Strong emphasis on hands-on mobile robot design, construction, programming, and experimentation using a variety of robot building platforms.
Prerequisite: CSCI 4300 (with a grade of C or better) or consent of instructor. Introduces network security: fundamentals of network security; mathematical concepts and theoretical analysis in cryptography; examination of risks and threats in computer networks and security mechanisms in different network layers; hands-on experience in network security, including implementation of encryption/decryption methods.
Prerequisites: CSCI 3080, CSCI 3110, and CSCI 3240. An intensive introduction into current Web technologies including basic HTML, tools for Web page design, XML, client-side methods, and server-side methods. Students will be required to implement several Web-based projects.
Prerequisites: CSCI 3080 and CSCI 3110. The relational and object models of database design along with relational algebras, data independence, functional dependencies, inference rules, normal forms, schema design, modeling languages, query languages, and current literature.
Prerequisites: Senior standing and consent of instructor. Students wishing to enroll must submit a written course/topic proposal to the department prior to the semester in which CSCI 4600 is taken. Proposal must be approved prior to taking the course. At the course conclusion, each enrollee must submit a written report to the department. May count up to 3 hours toward Computer Science major.
Prerequisites: CSCI 3080, CSCI 3110, CSCI 3240, and COMM 2200 with grades of C (2.0) or better. Consists of a theoretical component and a practical component. Topics include the history of software engineering, software development paradigms and life cycles, and computer-aided software engineering (CASE). Team project developed in parallel with the theory.
Prerequisites: CSCI 2170 and CSCI 3080. Integrates theory and applications of software testing techniques. Provides actual hands-on testing experience. Considers multiple testing paradigms.
Prerequisites: CSCI 2170 and CSCI 3080. Integrates theory and applications of software testing techniques. Provides actual hands-on testing experience. Considers multiple testing paradigms.
Prerequisite: CSCI 3080. Various neural net architectures, theory, and applications including models such as Perceptron, back propagation, Kohonen, ART, and associative memory. Learning and conditioning methods also studied.
Prerequisite: CSCI 3080. Various neural net architectures, theory, and applications including models such as Perceptron, back propagation, Kohonen, ART, and associative memory. Learning and conditioning methods also studied.
Prerequisite: CSCI 2170. Advanced topics in computer science to be selected and announced at time of class scheduling. May be repeated for up to six credits total.
Prerequisite: CSCI 2170. Advanced topics in computer science to be selected and announced at time of class scheduling. May be repeated for up to six credits total.
Prerequisite: CSCI 3110. Must have completed at least 30 semester hours with two semesters at MTSU; must have taken at least two computer science courses at MTSU; minimum overall average of 2.75 and 3.00 in computer science. Employment experience in a computer-related function in a firm, governmental agency, etc. Must be approved by the department.
Prerequisite: CSCI 3110. Must have completed at least 30 semester hours with two semesters at MTSU; must have taken at least two computer science courses at MTSU; minimum overall average of 2.75 and 3.00 in computer science. Employment experience in a computer-related function in a firm, governmental agency, etc. Must be approved by the department.
This program is available .
Contact your department / program coordinator or advisor for more details about the program OR work one-on-one with your advisor to explore your options.
With over 25 years of experience in online teaching and learning, MTSU Online offers students access to innovative, high-quality programs. Designed with students in mind, our courses allow maximum flexibility for those unable to participate in person.
Resources and services for online students are available from MTSU Online or contact us at distance@mtsu.edu.
