Amir Akhavan Masoumi, PhD

CIS 568: Data Visualization

Project-based course on advanced data visualization techniques. Topics may include: scalable visualization methods, multidimensional data analysis, network visualization, geospatial visualization, and interactive visualization. Ethical issues in data science.

CIS 600: Master's Project

Prerequisites: Completion of three core courses. Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.

CIS 600: Master's Project

Prerequisites: Completion of three core courses. Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.

DSC 530: Data Visualization

Project-based course on advanced data visualization techniques. Topics may include: scalable visualization methods, multidimensional data analysis, network visualization, geospatial visualization, and interactive visualization. Ethical issues in data science.

DSC 550: Master's Project

A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.

EGR 111: Intro Engineering & Computing

Introduction to engineering and computing with emphasis on development of problem solving skills through projects. The course is designed to increase the success of first year students. It includes an overview of majors in the college, and the importance of engaged learning. Team work, written and oral communication skills are covered. Ethical issues in engineering and computing are discussed.

EGR 111: Intro Engineering & Computing

Introduction to engineering and computing with emphasis on development of problem solving skills through projects. The course is designed to increase the success of first year students. It includes an overview of majors in the college, and the importance of engaged learning. Team work, written and oral communication skills are covered. Ethical issues in engineering and computing are discussed.

EGR 111: Intro Engineering & Computing

Introduction to engineering and computing with emphasis on development of problem solving skills through projects. The course is designed to increase the success of first year students. It includes an overview of majors in the college, and the importance of engaged learning. Team work, written and oral communication skills are covered. Ethical issues in engineering and computing are discussed.

CIS 323: Fund of Computer Systems

Introduction of Design and Organization of Computing Systems. This course introduces fundamental concepts of computing systems, such as circuit design, boolean equations, binary arithmetic and data representation, the operation of memory, as well as design of a processor. This course also covers the use of VHDL in designing circuits. The course has design, implementation, and analytical components.
Register for this course.