Introduces artificial intelligence. Covers fundamental concepts and techniques and surveys selected application areas. Core material includes state space search, logic, and resolution theorem proving. Application areas may include expert systems, natural language understanding, planning, machine learning, or machine perception. Provides exposure to AI implementation methods, emphasizing programming in Common LISP. Prerequisite: CS 2150 or CS 3100 with a grade of C- or better

Mobile computing devices have become ubiquitous in our communities. In this course, we focus on the creation of mobile solutions for various modern platforms, including major mobile operating systems. Topics include mobile device architecture, programming languages, software engineering, user interface design, and app distribution. Prerequisite: CS 2150 or CS 3140 with a grade of C- or better

This course will introduce students to the concepts and tools used in the development of modern 2-D and 3-D real-time interactive computer video games. Topics covered in this include graphics, parallel processing, human-computer interaction, networking, artificial intelligence, and software engineering. Prerequisite: CS 2150 or CS 3140 with a grade of C- or better

Investigates the architectural foundations of the various cloud platforms, as well as examining both current cloud computing platforms and modern cloud research. Student assignments utilize the major cloud platforms. Prerequisite: CS 2150 or CS 3140 with a grade of C- or better

Introduces the fundamental concepts for design and development of database systems. Emphasizes relational data model and conceptual schema design using ER model, practical issues in commercial database systems, database design using functional dependencies, and other data models. Develops a working relational database for a realistic application. Prerequisite: CS 2150 or (CS 2120 and 3140) with a grade of C- or better

This course covers the principles of secure network communications and the application of network security. Topics include: attack types, attack surfaces, attack phases, network security devices.(a)symmetric key encryption, cryptographic hash function, authentication/identification techniques, key distribution, and data integrity assurance. Also, currently used security mechanisms and protocols will be discussed. Prerequisite: CS 3710 with a grade of C- or better

An introduction to machine learning: the study of algorithms that improve their performance through experience. Covers both machine learning theory and algorithms. Introduces algorithms, theory, and applications related to both supervised and unsupervised learning, including regression, classification, and optimization and major algorithm families for each.Prerequisites: CS 2150 or CS 3100 with a grade of C- or better; APMA 3100, APMA 3110, MATH 3100, or equivalent and Math 3350 or APMA 3080 or equivalent

This course is a general introduction to cryptocurrencies and blockchain applications. Students will understand the theoretical concepts that underlay cryptocurrencies, and implement both their own cryptocurrencies as well as develop applications that run on existing cryptocurrencies. Students will see the ethics, legal, and policy aspects pertaining to the subject. Prerequisite: CS 3100 with a grade of C- or better

This course is one option in the CS fourth-year thesis track and is the continuation from CS 4970. Under the practicum track, students will take two 3-credit courses, CS 4970 and CS 4971. These courses would form a year-long group-based and project-based practicum class. There would be an actual customer, which could be either internal (the course instructor, other CS professors, etc.) or external (local companies, local non-profits, etc.).Prerequisite: CS 4970

This course is one option in the CS fourth-year thesis track. Students will seek out a faculty member as an advisor, and do an independent project with said advisor. Instructors can give the 3 credits across multiple semesters, if desired. This course is designed for students who are doing research, and want to use that research for their senior thesis. Note that this track could also be an implementation project, including a group-based project. Prerequisite: CS 3140 with a grade of C- or higher, and BSCS major.