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The computer has become this century’s version of the wheel; a piece of technology so ubiquitous and essential that nearly every other consequential human endeavor relies upon its effective use. Computer scientists turn this miraculous machine’s potential into power. Beginning with a study of the design and development of automated computation and information processing systems, they incorporate theoretical mathematics, logic, and engineering to improve hardware and software, conceive new applications, explore artificial intelligence, and push the boundaries of automation.
LTU’s degree in computer science will position you for a challenging and rewarding career in a dynamic field with unparalleled projected employment growth. It is the jumping-off point for a wide variety of potential career paths in both the public and private sectors. Opportunities await in such diverse specialties, as computer security, data mining, web applications, game development, robotics, and artificial intelligence. Computer Science professionals are in great demand by private businesses, financial institutions, healthcare providers, and government.
Why LTU?
Course Name
Course #
Credits
Beginning course on theory of computation. Regular languages, finite automata, context-free language, Turing Machine, Chomsky hierarchy, applications to parsing. Lecture 3 hrs.
MCS5243
3
Prerequisite: Permission of department chair. Design and implementation of relational, hierarchical and network database system. Query/update data language, conceptual data model, physical storage methods, database system architecture and normal forms. Database security and integrity. Relational database system are emphasized. A project involving an on-line database system is normally assigned. No credit given after MIS6113. Lecture 3 hrs.
MCS5303
3
Building on a first undergraduate course in data structures, this course contains a deeper analysis of the design of efficient algorithms on data structures for problems in sorting, searching, graph theory, combinatorial optimization, computational geometry, and algebraic computation. Topics covered in the course include divide-and-conquer, dynamic programming, greedy method, and approximation algorithms.
MCS5803
3
Any 5000- or 6000- level MCS course except MCS 5003 and MCS 5033.
Any MCS 6000-level courses, including:
Course Name
Course #
Credits
Current trends and technology in computer science will be presented to Freshman and Sophomores to provide opportunities to begin to study and research a specialized topic. Topics will be decided by the faculty who are teaching.
MCS 5993/7993
3
Course Name
Course #
Credits
Must have permission of program director. Initiation of work on a large-scale computer science team or project at the student’s workplace. Students work closely with a faculty member and an industry representative.
MCS7013
3
Completion of the computer science project began in MCS7013.
MCS7033
3
Course Name
Course #
Credits
Three credit hours of a course to form research for the Master’s Thesis, which partially fulfill the thesis option in the MSCS program. The student works in collaboration with a faculty advisor (or advisors) and, optionally and industrial advisor, and is expected to meet regularly with his or her advisors. The student expected to make an oral defense of their thesis’s prospectus.
MCS7113
3
Three credit hours of a course to fulfill the thesis option in the MSCS program. The student works in collaboration with a faculty advisor (or advisors) and, optionally and industrial advisor, and is expected to meet regularly with his or her advisors. Upon completion of the six credit hours of thesis research, the student makes an oral defense of the thesis, and submits the thesis to the University for publication.
MCS7133
3
Use Your Cell Phone as a Document Camera in Zoom
From Computer
Log in and start your Zoom session with participants
From Phone
To use your cell phone as a makeshift document camera
