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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.

4,624
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10
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168
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Programme: B.Eng. Agricultural and Biosystems Engineering × Clear all filters
Showing 1–10 of 48 courses
ABE 302 2
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
At the end of the course, students should be able to: 1. appreciate the basic science of animal production; 2. apply various engineering interventions in livestock housing, waste management, diary production; and 3. impl...
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Course Contents Types of livestock (for eggs, milk, meat, wool, etc). distribution of livestock in Nigeria. Livestock housing. Livestock processing equipment.
GET 201 3
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
Students will be able to: 1. discuss the fundamental concepts of electricity and electrical d.c. circuits; 2. state, explain and apply the basic d.c. circuit theorems; 3. explain the basic a.c. circuit theory and 4. appl...
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Fundamental concepts: Electric fields, charges, magnetic fields. current, B-H curves Kirchhoff’s laws, superposition. Thevenin, Norton theorems, Reciprocity, RL, RC, RLC circuits. DC, AC bridges, Resistance, Capacitance, Inductance measurement, Transducers, Single phase circuits, Complex j - notation, AC circuits, impedance, admittance, susceptance.
ABE 502 2
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
Students will after taking this course have the capacity to: 1. appreciate fish farming, the machinery involved and integration of fish farming aspect to the other crop and livestock enterprises on a farm; 2. design mech...
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Aquaculture: Types of fish ponds. Design and construction of fish ponds. Integrated fish farming. Water quality for fish farming. Water conservation. Machinery for fish farms. Pollution control. Ecological re-use and disposal of water. Product harvesting, sorting and processing. Design of fish kilns. Agroponics: Agroponic farming systems. Prospects of agroponic agriculture in Nigeria. Soil and water management in agroponic systems. Economics of agroponic systems. Modern aquaponics and hydroponics systems design and use. Practical content: Each student is expected to plant a yam seedling in a bag of sand and monitor its growth until harvest during the semester. Excursion: Visit to a commercial fish farm site or the university fish farm.
ABE 307 2
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
Upon completing this course, students will be able to: 1. appreciate biological engineering processes; 2. analyse biosystems such as waste treatment systems; 3. design the various gadgets involved in unit operations in b...
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Course Contents Definitions. Modelling and design of fermentation systems. Microbial growth kinetics. Design of bio-reactors. Heat and mass transfer. Bioremediation of wastes. design of anaerobic and aerobic systems. Energy from biological systems. Monitoring and control of biological systems. Application of computer to biological processes.
GST 111 2
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
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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Sounds and sound patterns in English Language (vowels and consonants, phonetics and phonology); English word classes (lexical and grammatical words, definitions, forms, functions, usages, collocations); major word formation processes; the sentence in English (types: structural and functional); grammar and usage (tense, concord and modality). Reading and types of reading, comprehension skills, 3RsQ. Logical and critical thinking; reasoning methods (logic and syllogism, inductive and deductive argument, analogy, generalisation and explanations). Ethical considerations, copyright rules and infringements. Writing activities (pre-writing(brainstorming and outlining), writing (paragraphing, punctuation and expression), post- writing (editing and proofreading). Types of writing (summary, essays, letter, curriculum vitae, report writing, note-making). Mechanics of writing. Information and Communication Technology in modern language learning. Language skills for effective communication. The art of public speaking.
GET 211 3
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
At the end of the course, the students should be able to: 1. describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; 2. develop co...
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Introduction to computers and computing; computer organisation – data processing, memory, registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation of non-numeric information; problem-solving and algorithm development; coding (solution design using flowcharts and pseudo codes). Data models and data structures; computer software and operating system; computer operators and operators precedence; components of computer programs; introduction to object oriented, structured and visual programming; use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT). Elements of software engineering.
ABE 303 2 1 institution need this
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
At the end of the course, students will be able to: 1. Appreciate the various farming systems in agriculture with emphasis on Nigerian small farm holding including the impact of climate change; 2. Describe the various fa...
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Classification and ecology of crops in Nigeria. Nutrient requirements and mineral nutrition of plants. Manures and fertilizers. Plant growth and development. Growth stages. Tillage and weed control. Other cultural practices. Cropping sequences and rotation. Farming systems. Production practices for specified crops. Conservation agriculture and sustainability in tropical agriculture.
ABE 301 2
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
At the end of this course, students will be able to: 1. Explain the theories of failure of machine components; 2. Analyse the loads on machine and structural elements; 3. Apply shear force, bending moment, torsion, bendi...
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Design of machine elements: Theories of failure. Design of shafts, belt and pulley drives, gears, sprockets, bolts and nuts, keys and keyways; selection of bearings. Practical session: Use of computer software in machine design. Design of structural elements: Definitions. Hooke’s law. Stress and strain due to loading. Torsion of circular members. Shear force. Bending moment and bending stresses in beams with symmetrical and combined loadings. Stress and strain transformation equations. Mohr cycle. Elastic buckling of columns. Design of beams using empirical methods and computer software. Design of columns using empirical methods and computer software. Group design assignment of machine or structural elements or complete system.
ABE 505 2 1 institution need this
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
This course will enable students know control, tools, programming languages, sensors and actuators involved in automation; design and use of robots and drones in agriculture. Students are expected to be able to: 1. Ident...
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Automation: Introduction to automation. Control systems: open-loop and closed-loop, feedback control, logic control, on-off control and linear control systems. Control actions: discrete control (on/off); PID controller; sequential control and logical sequence or system state control; computer control. Automation tools: artificial neural network (ANN); distributed control system (DCS); human machine interface (HMI); robotic process automation (RPA); supervisory control and data acquisition (SCADA); programmable logic controller (PLC); instrumentation; motion control; robotics. Programming languages: introduction to programming language; Matlab programming, R programming, C, C# and C++ programming, Java and Java Script programming and Python programming. Sensors and actuators: introduction to sensors, types and applications. Design and selection of sensors. Introduction to actuators, types and applications. Design and selection of actuators. Drones or Unmanned Aerial Vehicles (UAVs): Introduction, types and classification of drones. Architecture (components) of a drone: flight controller; electronic speed controller (ESC); battery; radio transmitter/receiver; antenna; propellers; electric motor; camera and its accessories.; ground station; intelligent sensors; intelligent battery; GNSS and RTK module. Advantages and disadvantages of drones. Design and selection of drones. Working principles of a drone. Performance considerations criteria of a drone. Application of drones in agriculture. Robots: Introduction, types and characteristics of agricultural robots (Agribot). Primary areas of robotics: operator interface; mobility or locomotion; manipulators and effectors; programming; sensing and perception. Advantages and disadvantages of robots. Robot design process. Design of components of agricultural robots: end effectors; grippers; manipulators. Operating principles of an agricultural robot. Performance evaluation of robots: productive time, overhead time and working efficiency index. Accuracy and repeatability of a robot. Application of robot to agriculture.
MTH 102 2
Engineering and Technology  ·  B.Eng. Agricultural and Biosystems Engineering
At the end of the course, students should be able to: 1. identify the types of rules in differentiation and integration; 2. recognise and understand the meaning of function of a real variable, graphs, limits and continui...
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Functions of a real variable, graphs, limits and idea of continuity. The derivative, as limit of rate of change. Techniques of differentiation, maxima and minima. Extreme curve sketching, integration, definite integrals, reduction formulae, application to areas, volumes (including approximate integration: Trapezium and Simpson's rule).
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