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BRIDGE BRIDGE Diaspora BRIDGE

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
10
Faculties
168
Programmes
Showing 101–110 of 197 courses
CYB 403 2 1 institution need this
Computing  ·  B.Sc. Cybersecurity
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
Computing  ·  B.Sc. Cybersecurity
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
Computing  ·  B.Sc. Information and Communication Technology
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
Computing  ·  B.Sc. Data Science
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
Computing  ·  B.Sc. Data Science
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
Computing  ·  B.Sc. Data Science
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
Computing  ·  B.Sc. Data Science
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.
ICE 412 2 1 institution need this
Engineering and Technology  ·  B.Eng. Information and Communication Engineering
At the end of this course, the students should be able to: 1. demonstrate the knowledge of health and safety at work requirement vis-à-vis installation of electrical and communication infrastructure; 2. explain the regul...
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Electrical Installation: Induction to Health and safety at work act in Nigeria. Electrical safety. First aid. Electricity supply regulations. Lighting and Illumination: Luminous intensity and flux. Maintenance factor. Coefficient of utilisation. Types of light sources. Calculation of lighting requirements. Glare. Stroboscopic effect. Installation materials (cables, junction box, terminations, joints). Conduits and conduiting. Truck and trucking. Electrical installation design in domestic, commercial and industrial environment. Alarm and emergency systems. Earthing and Protection. Purposes of earthing. Faraday cage. Rod electrodes. Earth electrode resistance. Earthing system. Earth fault loop impedance. ICT services: NCC and FCC codes of practice and standards. Telecommunication design and installation: Satellite, VSAT, etc. Telephone design and installation. Computer networking design and installation. Wireless LAN design and installation. Preparation of Bill of Engineering Measurement Evaluation. Contract bidding. Consultancy.
MCE 321 2 1 institution need this
Engineering and Technology  ·  B.Eng. Mechatronics Engineering
At the end of this course, the students should be able to developed the following skills: 1. ability to utilise a systems approach to complex problems and to design an operational performance; 2. proficiency in engineeri...
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Integrated design process of mechatronics systems; components of mechatronics systems, sensors and actuators, fundamental principal of operation for components, strengths and weaknesses, and operational characteristics. The design process; integrated iterative design, sub-systems, component selection and sizing, design considerations, state-of-the-arts and challenges. Design exercises with increasing degrees of complexity. Others are mechatronics design concepts: integrative design, concepts analogies between electrical and mechanical systems, appreciation of components of mechatronics systems, formulation of design requirements, design exercise and justifications, optimal division into sub systems component, selection and sizing prototype development, appraisal of benefit and cost evolution of mechatronics design and challenges. case studies.
URP 408 2 1 institution need this
Environmental Sciences  ·  B.Sc./B.Tech. Urban and Regional Planning
At the end of the course, students shall demonstrate the following competencies: 1. outline the various strategies for development control; 2. identify the laws and regulations guiding development control in the cities a...
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The various strategies of development control; the mechanics of control; Laws, Codes, Regulations and standards; development plans/schemes and their implementation. Planning applications; consents; appeals; enforcement procedures of arbitration submission. Appointment of arbitration, rules of evidence. Preparation and publication for awards; Methods of enforcing and impeaching an award. Reference by order of the court statutory arbitration.
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