CSC 810 - AI and the Future of Universit...
Module 3 - Problem-Solving and Search Algorithms
Instructor: Oladimeji Kazeem
Last Updated: 21-10-2026 | Language: English
What you'll learn
- ✔ Analyse how AI is changing higher education, employment, research, and professional practice.
- ✔ Evaluate the adequacy of current university curricula in preparing graduates for an AI-driven economy.
- ✔ Identify and assess the AI, digital, data, and human skills increasingly required by employers.
- ✔ Critically examine the opportunities, limitations, ethical risks, and governance challenges of AI in universities.
- ✔ Apply AI-related insights to existing academic programmes and identify areas requiring curriculum change.
- ✔ Formulate practical recommendations for developing AI-ready graduates in Nigerian universities.
- ✔ Assess how universities can balance AI skills with critical thinking, creativity, communication, problem-solving, and disciplinary expertise.
- ✔ Discuss the implications of AI for Nigeria's graduate employability, innovation, research capacity, and global competitiveness.
Who this course is for
- University lecturers and academic staff interested in the impact of AI on teaching, learning, and research.
- University administrators and education leaders responsible for curriculum development, institutional strategy, and digital transformation.
- Researchers and postgraduate students exploring AI-enabled research methods and emerging research disciplines.
- Undergraduate and prospective university students seeking to understand the skills required for an AI-driven employment market.
- Curriculum developers and academic programme coordinators considering how existing programmes should evolve.
- ICT, data science, and AI professionals interested in the future relationship between AI and higher education.
- Education policymakers and government stakeholders concerned with Nigeria's higher-education competitiveness and workforce development.
- Industry and employers interested in the skills they will increasingly expect from Nigerian university graduates.
Related CCMAS Courses
This seminar is relevant to the following courses in the NUC Core Curriculum Minimum Academic Standards (CCMAS).
Seminar Class Schedule
22nd December 2026 to 22nd December 2026
Wed - 12:00 PM WAT
All times are in West African Time (WAT, UTC+1).
Description
Problem-Solving and Search Algorithms
- State-space representation and problem formulation
- Breadth-first search (BFS) and depth-first search (DFS)
- Uniform-cost search and iterative deepening
- Greedy best-first search and A* search
- Heuristics, completeness, optimality and computational complexity