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B.Eng DegreeFaculty of Faculty of Engineering & TechnologyComputer Engineering
CPE 409: Artificial Intelligence & Machine Learning for Engineers
Heuristic search (A*), regression, SVM, random forests, deep learning (CNN/RNN), backpropagation, and engineering deployment.
Course Overview
Heuristic search (A*), regression, SVM, random forests, deep learning (CNN/RNN), backpropagation, and engineering deployment. Curriculum Structure & Core Modules: • 1. Foundations of Artificial Intelligence: Rational Agents, Search Spaces, and Problem Formulation • 2. Informed...
What You'll Learn
- Formulate engineering problems as state-space search graphs and solve them using A* and heuristic algorithms.
- Implement supervised learning pipelines (linear/logistic regression, support vector machines, random forests) in Python.
- Derive gradient descent optimization mathematics and backpropagation equations for multi-layer neural networks.
- Train Convolutional Neural Networks (CNNs) for industrial vision inspection and defect classification tasks.
- Evaluate machine learning models using precision, recall, F1-score, ROC curves, and cross-validation techniques.
Requirements
- Completion of CPE 202 and CPE 212.
Degree Programme Curriculum Context
This course is a curriculum unit of the Bachelor of Engineering (B.Eng.) in Computer Engineering degree framework in Nigeria.
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Course Curriculum
Open-access academic curriculum. All foundational lectures available to read free.
8 Chapters
•16 Lecture
•24h
1. Foundations of Artificial Intelligence: Rational Agents, Search Spaces, and Problem Formulation: Theoretical Foundations, Mathematical Modeling & System Architecture
CPE 409 • 400 Level • Computer Engineering Chapter 1: Foundations of Artificial Intelligence: Rational Agents, Search Spaces, and Problem Formulation — Theoretical Foundations, Mathematical Modeling & System Architecture Course: CPE 409: Artificial Intelligence & Machine Learning for Engineers Curriculum: NUC-CCMAS-CPE Accreditation: COREN-CPE-OBE Standard: IEEE/ACM-CE2024 1. P...
2. Foundations of Artificial Intelligence: Rational Agents, Search Spaces, and Problem Formulation: Worked Engineering Problems, Design Computations & Simulation Protocols
CPE 409 • 400 Level • Computer Engineering Chapter 1: Foundations of Artificial Intelligence: Rational Agents, Search Spaces, and Problem Formulation — Worked Engineering Problems, Design Computations & Simulation Protocols Course: CPE 409: Artificial Intelligence & Machine Learning for Engineers Curriculum: NUC-CCMAS-CPE Accreditation: COREN-CPE-OBE Practice: COREN ERM / IEEE...
1 hour 30 minutes
3. Chapter 1 Formative Assessment: Foundations of Artificial Intelligence: Rational Agents, Sea
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Instructor
PAMCET Learning Team
Institutional Course Curation · PAMCET
Qualifications:
PAMCET Learning Team — Institutional Course Curation, Digitpen Hub LtdMy Skills:
- Curriculum Curation
- Course Content Review
- Learning Outcome Design
- Course Publishing & Quality Assurance
- Platform Content Operations
Reviews
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Free
Course Includes
8 Chapters
16 Lectures
2 - 4 weeks
Skill Level advanced
Taught in English
Lifetime Access
Certification of Completion
Category: University - Computer Engineering
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