Courses with Gaps
BRIDGE's partner institutions have flagged these courses as needing diaspora expertise. Browse the list below and express interest in teaching a course to start the conversation with the institution.
190
Courses with Gaps
10
Faculties
168
Programmes
Showing 1–3
of 3 courses
ELE 411
3
1 institution need this
On successful completion of this course a student will be able to: 1. analyse and design analogue electronic circuits using a variety of techniques; 2. understand the theory of operation of the main components used in an...
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pSpice simulation; Design of BJT-based amplifier systems; Design of FET-based amplifier
systems; Current-series feedback design; Current-series feedback design; Voltage-shunt
feedback design; Differential amplifier; Op-amp IC applications; Positive feedback and
oscillator circuits; Advanced electronic laboratory skills (design, analysis, construction, and
measurement of advanced analog electronic circuits using discrete devices (diodes, bipolar
junction transistors, MOSFETs).
ELE 505
3
1 institution need this
Upon the completion of this course, the student shall be able to: 1. demonstrate fundamental understanding of the history of artificial intelligence (AI) and its foundations; 2. apply basic principles of AI in solutions...
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Introduction to Artificial Intelligence: Intelligent Agents and Applications of Artificial
Intelligence.
Knowledge Representation and Reasoning: Propositional logic, Theory of first order logic,
Inference in First order logic, Forward and Backward chaining, Resolution, Probabilistic
reasoning, Utility theory, Hidden Markov Models (HMM), Bayesian Networks.
Machine Learning: Supervised and unsupervised learning, Decision trees, Statistical
learning models, Learning with complete data – Naive Bayes models, Learning with hidden
data – EM algorithm, Reinforcement learning.
Pattern Recognition: Introduction, Design principles of pattern recognition system,
Statistical Pattern recognition, Parametre estimation methods – Principle Component Analysis
(PCA) and Linear Discriminant Analysis (LDA), Classification Techniques – Nearest Neighbour
(NN) Rule, Bayes Classifier, Support Vector Machine (SVM), K – means clustering.
GET 203
3
1 institution need this
Students should be able to: 1. apply mastery of the use of projections to prepare detailed working drawing of objects and designs; 2. develop skills in parametric design to aid their ability to see design in the optimal...
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Projection of lines, auxiliary views and mixed projection. Preparation of detailed working
production drawing; semi-detailed drawings, conventional presentation methods. Solid,
surface and shell modeling. Faces, bodies and surface intersections. Component-based design.
Component assembly and motion constraints. Constrained motions and animation.
Introduction to electronics modeling. Electronics board layout preparation, Component
libraries and Schematic design. Parametric modeling and adaptive design. Simulation for
material optimization. Designing for manufacturing. Additive and subtractive manufacturing.
Production for 3-D printing, Laser cutting and CNC machinery.Arrangement of engineering
components to form a working plant (Assembly Drawing of a Plant).