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CCMAS Course Search

Browse BRIDGE's courses under the National Universities Commission's Core Curriculum Minimum Academic Standards (CCMAS) — Nigeria's unified benchmark curriculum for every accredited program. Search by course title, code, faculty or programme to see full descriptions, learning outlines and credit-hour loads.

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168
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Faculty: Computing × Clear all filters
Showing 61–70 of 246 courses
IFT 211 3
Computing  ·  B.Sc. Software Engineering
At the end of this course, student should be able to: 1. explain why everything is data, including instructions, in computers; 2. describe how negative integers, fixed-length numbers and non-numeric data are represented;...
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Introduction to information representation and number systems. Boolean algebra and switching theory. Manipulation and minimisation of completely and incompletely specified Boolean functions. Physical properties of gates: fan-in, fan-out, propagation delay, timing diagrams and tri-state drivers. Combinational circuits design using multiplexers, decoders, comparators and adders. Sequential circuit analysis and design, basic flip-flops, clocking and timing diagrams. Registers, counters, RAMs, ROMs, PLAs, PLDs, and FPGAs. Lab Work: Simple combinational gates (AND, OR, NOT, NAND, NOR); Combinational circuits design using multiplexers, decoders, comparators and adders. Sequential circuit analysis and design using basic flip-flops (S-R, J-K, D, T flip-flops); Demonstration of registers, counters, RAMs, ROMs, PLAs, PLDs, and FPGAs.
IFT 211 2
Computing  ·  B.Sc. Information Technology
At the end of this course, students will be able to: 1. explain why everything is data, including instructions, in computers; 2. describe how negative integers, fixed-length numbers, and non-numeric data are represented;...
View learning outline
Introduction to information representation and number systems. Boolean algebra and switching theory. Manipulation and minimisation of completely and incompletely specified Boolean functions. Physical properties of gates: fan-in, fan-out, propagation delay, timing diagrams and tri-state drivers. Combinational circuits design using multiplexers, decoders, comparators and adders. Sequential circuit analysis and design, basic flip-flops, clocking and timing diagrams. Registers, counters, RAMs, ROMs, PLAs, PLDs, and FPGAs. Lab Work: Simple combinational gates (AND, OR, NOT, NAND, NOR); Combinational circuits design using multiplexers, decoders, comparators and adders. Sequential circuit analysis and design using basic flip-flops (S-R, J-K, D, T flip-flops); Demonstration of registers, counters, RAMs, ROMs, PLAs, PLDs, and FPGAs.
IFT 211 2
Computing  ·  B.Sc. Computer Science
At the end of this course, students will be able to: 1. explain why everything is data, including instructions, in computers; 2. describe how negative integers, fixed-length numbers, and non-numeric data are represented;...
View learning outline
Introduction to information representation and number systems. Boolean algebra and switching theory. Manipulation and minimisation of completely and incompletely specified Boolean functions. Physical properties of gates: fan-in, fan-out, propagation delay, timing diagrams and tri-state drivers. Combinational circuits design using multiplexers, decoders, comparators and adders. Sequential circuit analysis and design, basic flip-flops, clocking and timing diagrams. Registers, counters, RAMs, ROMs, PLAs, PLDs, and FPGAs. Lab Work: Simple combinational gates (AND, OR, NOT, NAND, NOR); Combinational circuits design using multiplexers, decoders, comparators and adders. Sequential circuit analysis and design using basic flip-flops (S-R, J-K, D, T flip-flops); Demonstration of registers, counters, RAMs, ROMs, PLAs, PLDs, and FPGAs.
CSC 203 3
Computing  ·  B.Sc. Software Engineering
At the end of this course, students should be able to: 1. convert logical statements from informal language to propositional and predicate logic expressions; 2. describe the strengths and limitations of propositional and...
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Propositional Logic, Predicate Logic, Sets, Functions, Sequences and Summation, Proof Techniques, Mathematical induction, Inclusion-exclusion and Pigeonhole principles, Permutations and Combinations (with and without repetitions), The Binomial Theorem, Discrete Probability, Recurrence Relations.
CSC 203 3
Computing  ·  B.Sc. Information and Communication Technology
At the end of the course, students should be able to: 1. convert logical statements from informal language to propositional and predicate logic expressions; 2. describe the strengths and limitations of propositional and...
View learning outline
Propositional Logic. Predicate Logic. Sets. Functions. Sequences and Summation. Proof Techniques. Mathematical induction. Inclusion-exclusion and Pigeonhole principles. Permutations and Combinations (with and without repetitions). The Binomial Theorem. Discrete Probability. Recurrence Relations. INS 202 Human-Computer Interface (HCI) (2 Units C: LH 15; PH 45) Learning Outcomes At the end of this course, students should be able to: 1. discuss the foundations and concept of the human-computer interface; 2. explain Understanding of principles of human-computer interface; 3. explain the design and development of the human-computer interface; and 4. explain the importance of user feedback. Course Contents Foundations of HCI. The concept underlying the design of HCI. Principles of GUI. GUI toolkits. System design methods. User conceptual models and interface metaphors. Human cognitive and physical ergonomics. Human-centred software evaluation and development. GUI design and programming. Lab Work: Illustration of the principles of HCI design. Practice on GUI design and programming. Demonstration of some GUI toolkits. Practical evaluation of GUIs
CSC 203 2
Computing  ·  B.Sc. Computer Science
At the end of this course, the students will be able to: 1. convert logical statements from informal language to propositional and predicate logic expressions; 2. describe the strengths and limitations of propositional a...
View learning outline
Propositional Logic. Predicate Logic. Sets. Functions. Sequences and Summation. Proof Techniques. Mathematical induction. Inclusion-exclusion and Pigeonhole principles. Permutations and Combinations (with and without repetitions). The Binomial Theorem. Discrete Probability. Recurrence Relations.
CSC 203 3
Computing  ·  B.Sc. Data Science
At the end of this course, students should be able to: 1. convert logical statements from informal language to propositional and predicate logic expressions; 2. describe the strengths and limitations of propositional and...
View learning outline
Propositional Logic, Predicate Logic, Sets, Functions, Sequences and Summation, Proof Techniques, Mathematical induction, Inclusion-exclusion and Pigeonhole principles, Permutations and Combinations (with and without repetitions), The Binomial Theorem, Discrete Probability, Recurrence Relations. 300 Level
MTH 202 2
Computing  ·  B.Sc. Computer Science
At the end of the course, students should be able to: 1. define the following: order and degree of a differential equation; 2. describe some techniques for solving first and second order linear and non-linear equations;...
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Derivation of differential equations from primitive, geometry, physics, etc. order and degree of differential equation. Techniques for solving first and second order linear and non-linear equations. Solutions of systems of first order linear equations. Finite linear difference equations. Application to geometry and physics.
MTH 202 2
Computing  ·  B.Sc. Information and Communication Technology
At the end of the course, students should be able to: 1. define the following: order and degree of a differential equation; 2. describe some techniques for solving first and second-order linear and non-linear equations;...
View learning outline
Derivation of differential equations from primitive, geometry, physics, etc. order and degree of a differential equation. Techniques for solving first and second-order linear and non-linear equations. Solutions of systems of first-order linear equations. Finite linear difference equations. Application to geometry and physics.
MTH 101 2
Computing  ·  B.Sc. Information Systems
At the end of the course, students should be able to: 1. understand basic definition of Set, Subset, Union, Intersection, Complements and use of Venn diagrams; 2. solve quadratic equations; 3. solve trigonometric functio...
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Elementary set theory, subsets, union, intersection, complements, Venn diagrams. Real numbers, integers, rational and irrational numbers. Mathematical induction, real sequences and series, theory of Quadratic equations, Binomial theorem, complex numbers, algebra of complex numbers, the Argand diagram. De-Moiré’s theorem, nth roots of unity. Circular measure, trigonometric functions of angles of any magnitude, addition and factor formulae.
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