Course Gaps at Jigawa State College Of Education Gumel
Jigawa State College Of Education Gumel has flagged these CCMAS courses as needing diaspora expertise. Open a course to see its full details and express interest in teaching it.
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Programme: B.Sc. Cybersecurity ×
Institution: Jigawa State College Of Education Gumel ×
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CSC 309
2
6 institutions need this
Flagged 9 Aug 2026
At the end of this course, students should be able to: 1. explain Artificial Intelligence(AI) fundamentals, concepts, goals, types, techniques, branches, applications, AI technology and tools; 2. discuss intelligent agen...
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Overview of Artificial Intelligence. History of AI. Goals of AI. AI Technique. Types of AI.
Branches and applications of AI. Advantages and Disadvantages. Introduction to Intelligent
Agents. Agent Performance, Examples of Agents, Agent Faculties, Rationality, Agent
Environment. Agent Architectures. Search. General Classes of AI Search Algorithm Problems.
Problem Solving by Search. Types of AI Search Techniques and Strategies. Introduction to the
types of problems and techniques in AI. Problem-Solving methods. Major structures used in
AI programmes. Knowledge Representation. KR and Reasoning Challenges. KR Languages.
Knowledge representation techniques such as predicate logic, non-monotonic logic, and
probabilistic reasoning. Semantic Network - types of relationships, semantic network
inheritance, types and components. Introduction to Frames. Natural Language Processing
(NLP). Introduction to natural language understanding and various syntactic and semantic
structures. Introduction to Expert Systems - characteristics, components, types, requirements,
technology, development. Programming Languages for AI. Introduction to computer image
recognition.
Lab work: Group practical in (i) Turing test practical - Students can act out their own version
of the Turing test (iii) Facial recognition practical to aid in teaching students how machine
learning works with students simulating a facial recognition algorithm. Practical applications
of NLP in groups – (i) Question Answering focuses on building systems that automatically
answer the questions asked by humans in a natural language (ii) Spam detection application
for detecting unwanted e-mails getting to a user's inbox (iii) Sentiment analysis/opinion mining
should be used on the web to analyse the attitude, behaviour, and emotional state of the
sender, implemented through a combination of NLP and statistics (iv) Practical exercise of
machine translation used to translate text or speech from one natural language to another
natural language such as the Google Translator (v) Developing a model to provide word
processor software for the spelling correction (vi) Developing a model for speech recognition
for converting spoken words into text (vii) Implementing a Chatbot to provide the
staff/student's chat services. OR
Group Practical exercise on agents and its environment using simulation of a colony of ants
foraging for food; model simulating a message between agents; model simulating the flocking
behaviour of birds; model to apply standard search algorithm to the classic search problem of
missionaries and cannibals, and how to use communicating agents for searching networks.
Some computer AI animation exercises for any branch of AI. Practical exercise on simple
robots coupling and programming. Group project of building a lawn robot for trimming
grasses, or any simple design and implementation of robotics.
400 Level
GST 111
2
1 institution need this
Flagged 9 Aug 2026
At the end of this course, students should be able to: 1. identify possible sound patterns in English Language; 2. list notable language skills; 3. classify word-formation processes; 4. construct simple and fairly comple...
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Sound patterns in English Language (vowels and consonants, phonetics and phonology).
English word classes (lexical and grammatical words, definitions, forms, functions, usages,
collocations). Sentence in English (types: structural and functional, simple and complex).
Grammar and Usage (tense, mood, modality and concord, aspects of language use in everyday
life). Logical and Critical Thinking and Reasoning Methods (Logic and Syllogism, Inductive and
Deductive Argument and Reasoning Methods, Analogy, Generalisation and Explanations).
Ethical considerations, Copyright Rules and Infringements. Writing Activities: (Pre-writing,
Writing, Post-writing, Editing, and Proofreading; Brainstorming, outlining, Paragraphing,
Types of writing, Summary, Essays, Letter, Curriculum Vitae, Report writing, Note making,
etc. Mechanics of writing). Comprehension Strategies: (Reading and types of Reading,
Comprehension Skills, 3RsQ). Information and Communication Technology in modern
Language Learning. Language skills for effective communication. Major word-formation
processes. Writing and reading comprehension strategies. Logical and critical reasoning for
meaningful presentations. Art of public speaking and listening. Report writing.