Information Systems Technology
Courses
ISTC 1021: PROBLEM SOLVING
Credits 3ISTC 1025: COMPUTER HARDWARE
Credits 3ISTC 2005: IT: A GLOBAL PERSPECTIVE
Credits 3ISTC 2008: INTRO TO CYBERSPACE
Credits 3ISTC 2021: MGMT OF INFORMATION SYSTEMS
Credits 3ISTC 2025: DISTANCE LEARNING AND IT SUPPORT
Credits 3ISTC 2030: NETWORKING
Credits 3ISTC 2045: DATA BASE MANAGEMENT SYSTEMS
Credits 3ISTC 2050: DISTRIBUTED SYSTEMS
Credits 3ISTC 3005: INTRO TO INTELLECTUAL PROPERTY
Credits 3ISTC 3008: WEB PAGE USABILITY AND
Credits 3ISTC 3010: IT SERVICES ADMINISTRATION
Credits 3ISTC 3015: HUMAN-COMPUTER INTERACTION
Credits 3ISTC 3020: COMPUTER PROGRAMMING: COBOL
Credits 3ISTC 3025: CASE STUDIES USING ADVANCED EXCEL
Credits 3ISTC 3028: SCRIPTING FOR THE WEB I
Credits 3ISTC 3030: LINUX
Credits 3ISTC 3031: ADVANCED NETWORKING AND TELECOM
Credits 3ISTC 3034: PROGRAMMING IN JAVA
Credits 3ISTC 3046: ADV DATA BASE MGMT SYSTEMS
Credits 3ISTC 3064: PYTHON PROGRAMMING
Credits 3ISTC 4042: SYSTEMS ANALYSIS AND DESIGN
Credits 3ISTC 4051: INTERNSHIP I @
Credits 1 6ISTC 4055: IT-SENIOR SEMINAR
Credits 3ISTG 5010: CYBER SECURITY & DISASTER RECOVERY
Credits 3ISTG 5015: SOCIAL COMPUTING SYSTEMS
Credits 3ISTG 5020: CLOUD COMPUTING & CLIENT ARCHITECTU
Credits 3ISTG 5025: LEGAL & ETHICAL ISSUES IN INFORM SY
Credits 3ISTG 6005: APPLIED AI: BUILDING & DEPLOYING AI SOLUTIONS
Credits 3This course explores how AI systems are built, deployed, and operated in cloud environments using modern practices. Students follow the lifecycle of an AI service from initial design through cloud deployment, monitoring, governance, and scale. The emphasis is on understanding how infrastructure, policy, organizational constraints, and leadership decisions shape real-world AI adoption—and on developing the judgment to make and defend those decisions.
The course is designed for students with a mix of technical and business backgrounds. Rather than requiring deep software engineering skills, it focuses on the decisions, tradeoffs, and operational thinking that managers, analysts, and technical leads need when bringing AI systems into production. Students will write Python scripts, call APIs, use managed cloud services, and work with AI coding assistants.
The course is built around designing, building, and operationalizing an AI-enabled service for an institution, using La Roche as the reference environment. Each four-hour session is split into two halves—a lecture and concepts portion followed by a hands-on lab—so that every idea is immediately applied.