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.
197
Courses with Gaps
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168
Programmes
Faculty: Computing ×
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of 21 courses
CYB 403
2
1 institution need this
At the end of this course, students should be able to: 1. employ the techniques for detecting, responding to and defeating organised cybercrimes and cyberwar activities; 2. analyse successful and unsuccessful advanced pe...
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Techniques for detecting, responding to and defeating organised cybercrimes and cyberwar
activities. Analysing successful and unsuccessful advanced persistent threats and malware
campaigns. Analyse divergent national and international policies for combating cyber terrorism
and terrorist tactics worldwide. Understanding Cyber threat intelligence - defining threats,
Understanding risk, Cyber threat intelligence and its rule, Expectations of organisations and
analysts, and indicators of compromise. Tactical threat intelligence. Role of a tactical threat
intelligence analyst, expected skills and tradecraft. The Kill Chain and Intrusion Analysis.
Indicator lifecycle. Introduction to operational threat intelligence - Role of an operational
threat intelligence analyst, Need for information sharing and peers. Models and methods for
managing intelligence, campaigns and threat actors. Introduction to strategic threat
Intelligence - role of a strategic threat intelligence analyst. Threat modelling, Organisational
change and security posturing. Event recording and incident sharing. Evolution of
counterterrorism and cyber conflict.
CYB 203
2
1 institution need this
At the end of this course, students should be able to: 1. discuss cybercrimes, including computer crimes, internet fraud, e-commerce, and threats to the national infrastructure; 2. review the policies, legal issues, inve...
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General introduction on cybercrime. Definition of cybercrime. Types and categories of
cybercrime and threats to the national critical infrastructure. Investigation process and
procedure for cybercrime. Strategies of cybercrime perpetrators. Possible ways of
curbing/preventing them. Technical aspects of computer cybercrime investigations, threats,
and types of attacks and defences used by terrorists and criminals. Successful use of online
social networks for cybercrime investigation. Concepts, trends, and methods in computer and
network forensics investigations. Skills and knowledge in digital evidence collection and
evaluation. Policies, legal issues, international jurisdiction, and privacy issues. Introduction to
cyber law and countermeasures. Studies in cyber law application at the international and
national levels with examples from European, North American, South American and Asian
Countries. The cyber law framework in Nigeria. Challenges and opportunities for cyber law
and countermeasure enforcement in Nigeria.
ICT 305
2
1 institution need this
At the end of this course, students should able to: 1. define various terminologies relating to Data communication; 2. explain the Seven Layer ISO-OSI standard protocols and network architecture; 3. describe different er...
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Types and sources of data. simple communications network. transmission definitions. one-
way transmission. half-duplex transmission. transmission codes. transmission modes. parallel
transmission. serial transmission. bit synchronisation. character synchronisation. character
synchronisation. synchronous transmission. asynchronous transmission. the efficiency of
transmission. Protocols: Introduction to network protocol. Seven Layer ISO-OSI standard
protocols and network architecture. Transport protocols, session services protocols, and other
protocols. Institute of Electrical and Electronics Engineering 802 standards. Error control and
Data Compression. Forward Error Control. error detection methods. parity checking. linear
block codes. cyclic redundancy checking. feedback error control. data compression. Huffman
coding and dynamic Huffman coding. Local Area Networks. medium access control techniques
– Ethernet, token bus, and token ring. LAN standards. fibre distributed data interface.
metropolitan area network. Peer-to-peer. Client-Server. Client-Server Requirements. GUI
design standards. interface independence. platform independence. transaction processing.
connectivity. reliability. backup. recovery mechanisms. Information Network Software:
features and benefits of major Network Operating Systems. Network OS. TCP/IP and Network
OS.
Lab Work: Demonstration of simple communications networks. Illustration of applications at
the various levels of the OSI model. Demonstration of different types of Local Area Networks
(LANs). Illustration of Metropolitan Area Networks. Illustration of Error Detection and Error
Correction techniques. Demonstration of Network Operating Systems.
DTS 304
3
1 institution need this
At the end of the course the students should be able to: 1. describe the components of a database system and give examples of their use; 2. describe the differences between relational and semi-structured data models; 3....
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Information Management Concepts. Information storage & retrieval. Information
management applications. Information capture and representation. Analysis and indexing -
search, retrieval, information privacy. Integrity and security. Scalability, Efficiency and
Effectiveness. Introduction to database systems. Components of database systems. DBMS
functions. Database architecture and data independence. Database query language.
Conceptual models. Relational data models. Semi-structured data models. Relational theory
and languages. Database Design. Database security and integrity. Introduction to query
processing and optimisation. Introduction to concurrency and recovery.
Lab work: Practical exercise on information representation, capture, storage and retrieval.
Learn how to analyse data and index for easy searching and indexing. Practical on creating
database files and models. How to create and use various database designs. How to query
the created database. Methods of concurrency and recovery in database. Learn how to secure
the database.
DST 322
2
1 institution need this
At the end of this course, students should be able to: 1. explain business models; 2. identify some entrepreneurial opportunities available in IT; 3. describe business plan and business startup process; 4. explain busine...
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Fundamental concepts of innovation, and business ideas in general. Product development.
Business leadership. Digital marketing. Entrepreneurial opportunities in IT. Legal issues and
Business ethics. New venture creation process. Business feasibility planning. Market research.
Business strategy. Business models and Business plans. Technical presentations. Report on a
successful entrepreneurial outfit.
DTS 403
2
1 institution need this
At the end of the course, the students should be able to: 1. utilise techniques that are applied in preparing and producing data into a form that meets the needs of particular and varied audiences; and 2. develop logical...
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Various methods for presenting data for visualisation as well as how to choose between them.
Fundamentals of data presentation using tables, graphs, images and video animations. Create
engaging visualisations using graphs, images and video animations. Data summaries, working
with tables, presenting data through graphs and plots, presenting data through video
animation, creating interactive/augmented visualisation of data (ability to zoom into sections).
Lab work: Practical experiments on different methods of presenting data for visualisation.
Practice on how to use graphs, tables, images, and video on animation for data presentation.
STA 111
3
1 institution need this
At the end of the course, students should be able to: 1. explain the basic concepts of descriptive statistics. 2. present data in graphs and charts. 3. differentiate between measures of location, dispersion and partition...
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Statistical data. Types, sources and methods of collection. Presentation of data. Tables chart
and graph. Errors and approximations. Frequency and cumulative distributions. Measures of
location, partition, dispersion, skewness and Kurtosis. Rates, ratios and index numbers.
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.
MTH 101
2
1 institution need this
At the end of the course students should be able to: 1. understand the basic definition of Set, Subset, Union, Intersection, Complements and use of Venn diagrams; 2. solve quadratic equations; 3. solve trigonometric func...
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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-Moivre’s theorem, nth roots of unity. Circular
measure, trigonometric functions of angles of any magnitude, addition and factor formulae.
SEN 401
2
1 institution need this
At the end of this course, students should be able to: 1. state the importance of software configuration management; 2. explain the typical processes in software configuration management; and 3. describe the key issues i...
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Management of the software configuration management process – organisation context for
software configuration management, constraints and guidance for software configuration
management process. Planning for software configuration management, software
configuration management plan, and surveillance of software configuration management.
Software configuration identification and software library. Software configuration control –
requesting, evaluating and approving software changes, implementing software changes, and
deviations and waivers. Software configuration status accounting – software configuration
status information and reporting. Software configuration auditing. Key issues in software
maintenance – technical issues, management issues, maintenance cost estimation, and
software maintenance measurement. Maintenance process – maintenance processes and
activities. Techniques for maintenance – program comprehension, re-engineering, reverse
engineering, migration, and retirement.
Lab Work: Practical demonstration of software configuration management processes.
Working with software configuration management software. Illustration of software
maintenance processes and activities. Working with software maintenance software.
Illustration of software re-engineering and reverse engineering techniques.