COMP 1160 Artificial Intelligence for Professionals
Course Information
| Course Number | COMP 1160 |
|---|---|
| Course Title | Artificial Intelligence for Professionals |
| Description | Designed to balance theory with hands-on experience, this course explores how artificial intelligence (AI) technologies are used to solve practical problems. It covers key concepts, tools, and applications of AI, including both coding-based approaches and no-code tools to ensure accessibility for learners with varying technical backgrounds. Students will examine how AI is transforming industries and learn to apply these technologies to solve real-world problems. By the end of the course, students will have a comprehensive understanding of current AI technologies and their applications, while developing skills that can adapt to future advancements in the field. This course is ideal for professionals seeking to enhance their technical toolkit and stay ahead in a rapidly evolving industry. (Prerequisites: None) |
| Total Credits | 4 |
| Total Hours | 64 |
| Instruction Type | Credits and Hours |
|---|---|
| Lecture | 4 Credits, 64 Hours |
Pre/Corequisites
Prerequisite: There are no prerequisites for this course.
Institutional Core Competencies
- Cultural Competence - Students will be able to demonstrate an attitude of personal curiosity, a rising knowledge of cultures, and an evolving range of skills for living and working among others with other worldviews and ways of life.
- Communication - Students will be able to demonstrate appropriate and effective interactions with others to achieve their personal, academic, and professional objectives.
- Critical and Creative Thinking - Students will be able to demonstrate purposeful thinking with the goal of using a creative process for developing and building upon ideas and/or the goal of using a critical process for the analyzing and evaluating of ideas.
Course Competencies
- Define foundational concepts in artificial intelligence, including machine learning, deep learning, and reinforcement learning.
- Describe various categories and methodologies within AI.
- Identify AI-driven tools and coding assistants relevant to professional practice.
- Apply practical skills to integrate AI APIs into coding workflows effectively.
- Develop effective prompts for enhancing interaction quality with AI systems.
- Analyze the influence of context management on AI-generated outputs.
- Apply AI tools to generate efficient and secure code.
- Apply AI-assisted debugging strategies to identify and correct errors in code.
- Utilize AI to effectively decompose complex problems.
- Critically evaluate AI-generated solutions.
- Analyze ethical, privacy, and compliance considerations in AI implementation.
- Integrate AI technologies into professional workflows effectively.
- Evaluate security risks associated with AI-generated solutions.
- Establish robust practices for AI reliability and security.
SCC Accessibility Statement
South Central College strives to make all learning experiences as accessible as possible. If you have a disability and need accommodations for access to this class, contact the Academic Support Center to request and discuss accommodations.
North Mankato: Room B-132, (507) 389-7222; Faribault: Room A-116, (507) 332-7222.
Additional information and forms can be found at: southcentral.edu/disability
This material can be made available in alternative formats by contacting the Academic Support Center at 507-389-7222.