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.
278
Courses with Gaps
10
Faculties
168
Programmes
Showing 151–160
of 278 courses
NSC 203
1 Unit(s) (LH 15)
1 institution need this
At the end of this course, the student should be able to: 1. describe the developmental stages of man and influence on individual behaviour; 2. explain the quantitative adjustments that are related to growth and developm...
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Human growth and development from conception through childhood and adolescence to old age.
Erikson’s developmental tasks for different stages of life. Theories of Learning. Psychology of
Learning and the nurse. The nature and structure of intelligence. Individual differences.
Environment and behaviour. Determinants of human health behaviour. Attitudes. Psychological
influence on health and illness. Care and coping strategies in illness situations especially for
children, adolescents and the elderly.
ELE 318
2
1 institution need this
Upon the successful completion of this course, students should be able to: 1. perform base 2, 8, 16 and BCD-code (binary-coded decimal) calculations; 2. design a minimal combinatorial logic circuit that solves binary log...
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Introduction to Computing Systems; Switch Design; Boolean Algebra; Gate Design and
Simplification; Building Blocks; Number Systems and Arithmetic; Latches and Registers;
Counters; State Machines; Memory; Datapaths; Introductory Assembly Programming.
Laboratory projects will include use of PC-based CAD environment that supports schematic
capture, logic simulation, and HDL-based logic synthesis on FPGAs (field-programmable gate
arrays). Small-scale integrated circuits will be used for early labs; HDL-based logic synthesis
on FPGA-based design boards will be used for more advanced design implementations.
ELE 324 : Communication Principles (3 Units C: LH 45)
Learning Outcomes
On the successful completion of this course, students will be able to:
1. analyse communication systems in both the time and frequency domains;
2. describe the principles of amplitude modulated and angle modulated communication
systems, and be able to analyse their performance in the presence of noise;
3. explain source coding and its relations to information theory, citing Shannon’s
theorem;
4. describe the principles of various digital modulation systems and their properties,
including bandwidth, channel capacity, transmission over bandlimited
channels, inter-symbol interference (ISI), demodulation methods, and error
performance in the presence of noise; and
5. explain engineering fundamentals of photogeneration, photodetection and lightwave
propagation for optical communications.
Course Contents
Models of telecommunication system. The concept of information volume. Characteristics of
analogue audio and video signals. Analogue modulation techniques and their implementation:
amplitude and angle modulation, Frequency Division Multiplexing. Digitization of analogue
signals. Binary system. Arithmetic operations on binary numbers. Modulo 2 arithmetic. Pulse
code modulation (PCM), sampling, quantization, coding. Delta and differential pulse code
modulation. Synchronous and asynchronous, static and dynamic time division multiplexing.
Plesio-synchronous digital hierarchy, primary group, secondary group, groups of higher levels.
Synchronous digital hierarchy. Multiplexing PDH signals into SDH STM-1 transport module.
Transmission media. Optical fibres: single mode, multimode. Optical cables. Wavelength
division multiplexing (WDM): Dense wavelength division multiplexing (DWDM)
400 Level
GET 402 Engineering Project I (2 Units: C; PH 90)
Learning Outcomes
At the end of this course, the students should be able to:
1. Complete the design phase of a complex engineering problem sourced from industry or
community during the SIWES III programme.
2. Demonstrate the connection between engineering product-making and the theoretical
courses they have learned following the applicable industry best practices.
Course Contents
In the second semester of the 400-level students, preferably in groups, work from the
university on the identified industry or organization to tackle industry complex engineering
problems. Theoretical issues may be provided by the department faculty or industry experts.
During the vacation, students will now work full time with the organisation/industry on the
project as part of the SIWES III. The students can also go beyond the department and engage
in multidisciplinary undertakings. Literature survey, review of existing systems etc. must be
achieved to a satisfactory extent.
GET 404 Engineering Valuation and Appraisal (2 Units: C; LH 30)
Learning Outcomes
At the end of this course, the students should be able to:
1. Identify at least three (3) objectives of engineering valuation work, valuer's primary duty
and responsibility and valuation terminologies.
2. Describe at least four (4) Valuer's obligation to his or her client, to other valuers, and to
the society.
3. Demonstrate with example the engineering valuation methods, valuation standards, and
practices.
4. Prepare engineering valuation and appraisal reports and review
5. Discuss expert witnessing and ethics in valuation.
6. Determine price, cost, value, depreciation and obsolescence in real property, personal
property, personal property, machinery and equipment, oil, gas, mines, and quarries
valuation.
ITH 407
2 Unit(s) (LH 30)
1 institution need this
At the end of this course, students should be able to: 1. explain the origins of forensic science; 2. explain the difference between scientific conclusions and legal decision-making; 3. explain the role of digital forens...
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Computer devices, Data collection, Evidence Collection, Extraction and preservation of evidence,
Data Recovery, Evidence preservation, verification & authentication, Data Discovery &
Identification, Data Analysis, Computer Forensics Tools, Data Hiding Techniques, Computer
forensics and mobile forensics.
CYB 305
2
1 institution need this
At the end of this course, students should be able to: 1. develop basic knowledge on digital forensic and digital evidence; 2. establish awareness of digital evidence challenges aspects of digital evidence; 3. appraise t...
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Introduction to digital forensics, digital evidence, and increasing awareness of digital evidence.
Challenging aspects of digital evidence. Best practices in securing, processing, acquiring,
examining and reporting on digital evidence. Cyber trail and challenging aspects of the cyber
trail. Brief history of computer crime and cybercrime investigation. Cyber auditing. Evolution
of investigative tools. Language of computer crime investigation. The role of computers in
crime, technology and law, jurisdiction, pornography and obscenity, child pornography,
privacy, copyrights and the “theft” of digital intellectual property. The investigative process
and investigative reconstruction, with digital evidence. Examine techniques and tools used by
computer forensics investigations such as acquisition, preservation, recovery, and analysis of
evidence obtained from portable and stationary computer storage devices, personal digital
assistants (PDAs), and cell phones. Current technologies and methods as well as leading edge
techniques with practical based exercises/projects and research opportunities.
Lab work: Practical exercises on how to make use of various techniques and tools for
computer forensics investigations and cyber trail during cybercrime investigations. Practice
cyber auditing skills. Work on applying the best practices in securing, processing, acquiring,
examining and reporting on digital evidence with current technologies and methods in
forensics investigation.
ABE 505
2
1 institution need this
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.
ZOO 806
3
1 institution need this
Intensive studies of the factors affecting the abundance and distribution of animals in tropical terrestrial ecosystems (lowland forests; savanna; deserts and montane systems).
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Intensive studies of the factors affecting the abundance and distribution of animals in tropical terrestrial ecosystems (lowland forests; savanna; deserts and montane systems); Community structure; functions and dynamics; Adaptation of animals to different tropical environments and the effect of human activities on tropical ecosystems; Ecology of coastal and tropical inland waters like estuaries; lagoons; rivers; natural and artificial lakes; The inter-relationships of fauna and flora; Man's influences on the aquatic environment
HIM 521
2 Unit(s) (LH 30)
1 institution need this
At the end of the course, the students should be able to: 1. define economics of health information; 2. distinctively explain the marketing of health information; 3. explain the theories of national choice and utility ap...
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Definition of economics of health information, and marketing of health information, theories of
national choice and utility applied to health information products/ services, demands and uses of
health information products. Cost theory of health information models of value of health
information products: exchange, use and expectation value, supply and demand functions of
health information, marketing mix: price, product, place and promotion as applied to health
information (products/ services), market aggregation and segmentation, consumer behavior.
Health information life cycle development, market research, health information brokerage, writing
proposal, marketing communication, costing and pricing methods.
EDU 607
1 Unit(s)
1 institution need this
Goal: To study the determinants of human development from birth to adolescence with special reference to the effects of heredity and environment on the physical, cognitive, social, moral and emotional development of the...
TEL 507
2
1 institution need this
At the end of the course, the student should be able to: 1. apply the knowledge of mathematics, and engineering to the analysis of electrical machines and transmission lines; 2. design and conduct experiments, as well as...
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Basic single-phase modeling. Three phase system analysis. Three phase models of
transmission lines. Three phase models of transformers. Formation of the system admittance
matrix. Modeling of Static AC-DC Conversion Plant: Introduction. Rectification, inversion.
Communication reactance. DC transmission. Load Flow: Introduction, Basic nodal-method.
Conditioning of Y matrix. The case where one voltage is known. Analytical definition of the
problem. Newton-Raphson method of solving load flow problem. Techniques that make
Newton-Raphson Me Basic single-phase modeling. Three-phase system analysis. Three-phase
models of transmission lines. Three-phase models of transformers. Formation of the system
admittance matrix. Modeling of Static AC-DC Conversion Plant: Introduction. Rectification,
inversion. Communication reactance. DC transmission. Load Flow: Introduction, Basic nodal-
method. Conditioning of Y matrix. The case where one voltage is known. Analytical definition
of the problem. Newton-Raphson method of solving load flow problem. Techniques that make
Newton-Raphson Method competitive in load flow. Characteristics of the Newton-Raphson
load flow method. Decoupled Newton load flow method. Fast Decoupled load flow.
Convergence criteria and tests. Numerical examples. AC-DC Load Flow: Introduction.
Formulation of the problem. DC system model. Solution techniques. Control of converter AC
terminal voltage. Extension to multiple and or multi-terminal DC systems. DC convergence
tolerance. Test system and results Numerical examples.Optimal operating strategies:
Scheduling of generation, types generating stations and their tecno-economic operating
characteristics Fault analysis and Control strategy: types of system protection, generators,
transformers, lines etc protection schemes switchgear and circuit breakers operating principles
and types.
TEL 322
2
1 institution need this
At the end of the course, the student should be able to: 1. recognise the structure and operation of electricity generation, transmission and distribution systems and the impact on the society and environment; 2. solve p...
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Generation of electric energy: Sources of energy. Heat value of fuels. Thermal stations.
Hydroelectric stations. Nuclear stations.
Economics of power supply: Fixed and running charges in electric power production. Load
curves and load duration curves including concept of base, intermediate and peak load.
Definition of load factor, maximum demand, Diversity factor and their effects on generation.
Distribution system: Survey of power system components: feeders, distributors, services
mains, radial and ring-man systems. Voltage drop in distribution systems. Per-unit qualities.
Overhead transmission system: Conductors and insulators. Transmission line parameters.
Resistance, inductance and capacitance. Skin effect. Corona discharge. Stringing: Calculation
of sag and tension. Stringing chart and performance. Representation of short and long power
lines. Underground cables: Types. Inductance of concentric cables. Capacitance of single-core
and three-core cables. Thermal characteristics. Sheath currents.
Circuit breakers: Principles of arc-extinction. Types of circuit breakers. Current growth in a
purely inductive circuit. Interpretation of circuit breakers lest oscillographs. Current chopping.
Resistance and capacitance switching. Breaking and making currents.