• Identify possible sound patterns in English.
• List notable language skills, classify word formation processes.
• Construct simple and fairly complex sentences in English.
• Apply logical and critical reasoning skills for meaningful presentations.
• Demonstrate an appreciable level of the art of public speaking and listening.
• Write simple and technical reports.

• Understand the basic definitions of Set, Subset, Union, Intersection, Complements, and use of Venn diagrams.
• Solve quadratic equations.
• Solve trigonometric functions.
• Understand various types of numbers.
• Solve some problems using the Binomial theorem.

• Identify and deduce the physical quantities and their units.
• Differentiate between vectors and scalars.
• Describe and evaluate the motion of systems based on the fundamental laws of mechanics.
• Apply Newton’s laws to describe and solve simple problems of motion.
• Evaluate work, energy, velocity, momentum, acceleration, and torque of moving or rotating objects.
• Explain and apply the principles of conservation of energy, linear and angular momentum.
• Describe the laws governing motion under gravity.
• Quantitatively determine the behavior of objects moving under gravity.

• Conduct measurements of some physical quantities.
• Make observations of events, collect and tabulate data.
• Identify and evaluate some common experimental errors.
• Plot and analyze graphs.
• Draw conclusions from numerical and graphical analysis of data.

• Understand the significance of Information and Communication Technology (ICT) and its application to libraries and information services.
• Acquire essential ICT skills for information professionals.
• Understand data communication and internet resources in electronic storage systems.
• Explore web technology resources.
• Learn the impact of ICT on modern libraries, along with ethical considerations and challenges related to applying ICT in library settings, particularly in the context of Nigerian libraries.

• Explain the basic concepts of descriptive statistics.
• Present data in graphs and charts.
• Differentiate between measures of location, dispersion, and partition.
• Describe the basic concepts of Skewness and Kurtosis and their utility function in a given data set.
• Differentiate rates from ratio and how they are used.
• Compute different types of index number from a given data set and interpret the output.
• Understand and apply frequency distributions to organize and summarize data.
• Create and interpret various types of charts and graphs to visualize data effectively.
• Compute and interpret measures of central tendency to identify the center of a distribution.
• Calculate and interpret measures of dispersion to understand the spread of data points.
• Compare and contrast different approaches to probability.
• Calculate and interpret conditional probabilities to make informed decisions based on given conditions.
• Identify and work with probability distributions in the discrete case, including Bernoulli, Binomial, Uniform, Poisson, Geometric, and Hypergeometric distributions.
• Analyze continuous probability distributions, such as Uniform, Normal, and Exponential distributions.

• Explain basic components of computers and other computing devices.
• Describe the various applications of computers.
• Explain information processing and its roles in society.
• Describe the Internet, its various applications, and its impact.
• Explain the different areas of the computing discipline and its specializations.
• Demonstrate practical skills in using computers and the internet.

• Grasp environmental studies’ fundamental principles, human-environment relationships, and the impact of human activities on nature.
• Examine energy resource usage and its environmental consequences.
• Investigate chemicals and waste effects on ecosystems and health.

• Outline contemporary health issues and broadly classify them.
• Discuss some basic concepts related to clinical medicine, disease prevention/management, and population health.
• Explain the etiology, prevention, and management of key non-communicable diseases.
• Discuss the epidemiology, personal and public health consequences of selected infectious diseases.
• Discuss the personal and social determinants of health.
• Explain the place of disease prevention and health promotion in personal and population health.
• Explain the connection between contemporary health issues and sustainable development goals.
• Relate contemporary health issues to global health challenges.

• Explain problem-solving processes.
• Demonstrate problem-solving skills.
• Describe the concept of algorithms development and properties of algorithms.
• Discuss the solution techniques of solving problems.
• Solve computer problems using algorithms, flowcharts, pseudocode, etc.
• Solve problems using programming languages such as C, PYTHON, etc.

• Analyze the historical foundation of the Nigerian culture and arts in pre-colonial times.
• List and identify the major linguistic groups in Nigeria.
• Explain the gradual evolution of Nigeria as a political unit.
• Analyze the concepts of Trade, Economic, and Self-reliance status of the Nigerian peoples towards national development.
• Enumerate the challenges of the Nigerian State towards nation-building.
• Analyze the role of the Judiciary in upholding people’s fundamental rights.
• Identify acceptable norms and values of the major ethnic groups in Nigeria.
• List and suggest possible solutions to identifiable Nigerian environmental, moral, and value problems.

• Differentiate and explain rules in calculus.
• Analyze real-variable functions and graphs.
• Grasp limits and continuity.
• Understand derivatives as the rate of change limits.
• Gain proficiency in integration techniques and definite integrals for solving area and volume problems.

• Describe and determine the magnetic field for steady and moving charges.
• Determine the magnetic properties of simple current distributions using Biot-Savart and Ampere’s law.
• Describe electromagnetic induction and related concepts.
• Make calculations using Faraday and Lenz’s laws.
• Explain the basic physical of Maxwell’s equations in integral form.
• Evaluate DC circuits to determine the electrical parameters.
• Characterize ac voltages and currents in resistors, capacitors, and inductors.

• Conduct experiments on the measurements of some physical quantities.
• Make observations of events.
• Collect and tabulate data.
• Identify and evaluate some common experimental errors.
• Plot and analyze graphs.
• Draw conclusions from numerical and graphical analysis of data.

• Basic knowledge and skills required for planning, designing, and developing effective web pages.
• Focus on the practical application of technologies used in web development.
• Basic skills in tools like HTML5, Cascading Style Sheet (CSS), and Javascript.
• Ability to host a website on a selected web server.
• Skills in web content development.

• Have a deepened understanding of communication skills both in spoken and written English.
• Demonstrate an appreciable level of proficiency in the arts of public speaking, listening, and effective communication.

At the end of this course, students should be able to:

• Explain the concepts, characteristics, and theories of entrepreneurship, intrapreneurship, opportunity seeking, new value creation, and risk-taking.
• Analyse the importance of micro and small businesses in wealth creation, employment, and financial independence.
• Engage in entrepreneurial thinking.
• Identify key elements in innovation and describe the stages in enterprise formation, partnership, and networking, including business planning.
• State the basic principles of e-commerce.

At the end of this course, students should be able to:

• Describe the Real-valued functions of a real variable.
• Solve problems using the Mean value Theorem and Taylor Series Expansion.
• Evaluate Line Integrals, Surface Integrals and Volume Integrals.

At the end of this course, students should be able to:

• Identify different programming paradigms and their approaches to programming.
• Write programmes in C using basic data types and strings.
• Design and implement programming problems using selection.
• Design and implement programming problems using loops and use & implement classes as data abstractions in an object-oriented approach.
• Implement simple exception handling in programmes, develop programmes with input/output from text files and design and implement programming problems involving arrays.

At the end of this course, students will have:

• Skills to convert logical statements from informal language to propositional and predicate logic expressions.
• Described the strengths and limitations of propositional and predicate logic and outline the basic structure of each proof technique to be described.
• Ability to apply each of the proof techniques correctly in the construction of a sound argument, apply the pigeonhole principle in the context of a formal proof and compute permutations and combinations of a set, and interpret the meaning in the context of the particular application.
• Ability to map real-world applications to appropriate counting formalisms subject to constraints on the seating arrangement and solve a variety of basic recurrence relations.

At the end of this course, students should be able to:

• Explain why everything is data in computers.
• Describe how numeric and non-numeric data are represented and convert numerical data from one format to another.
• Describe computations as a system characterised by a known set of configurations with transitions from one unique state to another.
• Describe the distinction between systems and those with memory/history.
• Describe a computer as a state machine.
• Articulate that there are many equivalent representations of computer functionality.
• Use mathematical expressions to describe the functions of simple combinational and sequential circuits.
• Design the basic building blocks of a computer: arithmetic-logic unit (gate-level), registers (gate-level), central processing unit (register transfer-level) and memory (register transfer-level).

At the end of this course, students should be able to:

• Describe the concept of the software life cycle.
• Explain the phases of requirements analysis, design, development, testing and maintenance in a typical software life cycle.
• Differentiate amongst the various software development models.
• Utilise Unified Modeling Language for object-oriented analysis and design.
• Describe different design architectures.
• Explain the various tasks involved in software project management.
• Describe the basic legal issues related to Software Engineering.

At the end of this course, students should be able to:

• Explain requirements engineering (RE).
• Understanding what a customer wants.
• Analyse the need and assessing feasibility.
• Negotiate a reasonable solution, clearly specifying the solution, validating the specifications, and managing the requirements as they are transformed into a working system are all provided by requirement engineering.
• Examine current techniques, notations, methods, processes, and tools for software requirements engineering.
• Create models for both software engineering processes and products, as well as functional and non-functional goals, requirements, and specifications.
• Possess the skills required for software requirements engineering as well as a foundation for systematically establishing, defining, and managing requirements for large, complex, and changing software-intensive systems from technical, organisational, and management perspectives.

At the end of this course, student should be able to:

• Describe the various assignments carried out and the skills acquired during the training period and submit a comprehensive report on the knowledge acquired and the experience gained during the exercise. SIWES I will take place during long vacations of 200 Level and 300 Level.

At the end of this course, students will be able to:

• Provide a survey of the main branches of Philosophy, Symbolic Logic, and Special symbols in symbolic Logic-conjunction, negation, affirmation, disjunction, equivalent and conditional statements law of thought.
• Understand the method of deduction using rules of inference and bi-conditionals qualification theory; Types of discourse, Nature of arguments, Validity and soundness; Techniques for evaluating arguments, and Distinction between inductive and deductive inferences.

(Learning outcomes not provided)

At the end of this course, students should be able to:

• Develop solutions for a range of problems using object-oriented programming in C++, use modules/packages/namespaces for programme organisation.
• Use API in writing applications.
• Apply divide and conquer strategy to searching and sorting problems using iterative and/or recursive solutions and explain the concept of exceptions in programming and how to handle exceptions in programmes.
• Write simple multithreaded applications and design and implement simple GUI applications.

At the end of this course, students should be able to:

• Explain different instruction formats, such as addresses per instruction and variable length vs. fixed length formats.
• Describe the organisation of the classical von Neumann machine and its major functional units.
• Explain how subroutine calls are handled at the assembly level.
• Describe the basic concepts of interrupts and I/O operations.
• Write simple assembly language programme segments.
• Show how fundamental high-level programming constructs are implemented at the machine-language level.
• Compare alternative implementations of data paths.
• Discuss the concept of control points and the generation of control signals using hardwired or micro-programmed implementations.

At the end of this course, student should be able to:

• Describe system requirements gathering techniques, data modelling technique (entity relationship modelling), process modelling technique (data flow diagram), system architectural design, process and database design and user interface design.

At the end of this course, student should be able to:

• Measure computer power consumption.
• Reduce power consumption.
• Procure sustainable hardware.
• Design green data centres.
• Recycle computer equipment.
• Configure computers to minimise power consumption.
• Use virtualization to reduce the number of servers, and other green technologies.
• Integrate sustainable information technology into organisational culture and planning in order to foster long-term sustainability.

At the end of this course, student should be able to:

• Provide the role of software processes in software development and will have experienced a variety of processes, ranging from rigid to agile.
• Explain the role of software processes in software development and will have experienced a variety of processes, ranging from rigid to agile.

At the end of the course, students should be able to:

• Demonstrate a comprehensive understanding of fundamental programming concepts and data structures in C++ such as primitive types, arrays, records, strings, and string processing.
• Have a solid grasp of data representation in memory and be able to effectively allocate memory on the stack and heap.
• Be proficient in implementing and applying various data structures including queues and trees, utilising appropriate implementation strategies.
• Be skilled in managing run-time storage effectively through pointers and references, and adept at working with linked structures.
• Gain practical experience in writing C++ functions and implementing algorithms for arrays, records, string processing, queues, trees, pointers, and linked structures, further enhancing their proficiency in C++ programming and data structure manipulation.

At the end of this course students should be able to:

• Produce detailed object models and designs from system requirements.
• Use the modelling concepts provided by UML.
• Identify use cases and expand into full behavioural designs.
• Expand the analysis into a design ready for implementation and construct designs that are reliable.

At the end of the lecture, the students should be able to:

• Design and implement simple client-side and server-side web applications.
• Demonstrate hands-on skills in PHP and Python programming uses open-source software.
• Compare and contrast web programming with general-purpose programming.
• Develop a fully functioning website and deploy it on a web server.

At the end of this course, students should able to:

• Define various terminologies relating to Data communication.
• Explain the Seven Layer ISO-OSI standard protocols and network architecture.
• Describe different error-detection methods.
• Describe Internet Technologies and Protocols.
• List the features and benefits of Network Operating System.

At the end of this course students should be able to:

• Build, evaluate and maintain the software defined networks (SDN) that make that possible and how it is changing the way communications networks are managed, maintained, and secured.
• Explain topics including data and control plane abstraction, network extensibility, automation, security, and scalability.
• Exhibit hands-on experience gained in SDN, network function virtualisation (NFV) and network application development.

At the end of this course students should be able to:

• Describe the various assignments carried out and the skills acquired during the training period.
• Submit a comprehensive report on the knowledge acquired and the experience gained during the exercise.

At the end of the course, students should be able to:

• Analyse the concepts of peace, conflict and security.
• List major forms, types and root causes of conflict and violence.
• Differentiate between conflict and terrorism.
• Enumerate security and peacebuilding strategies.
• Describe roles of international organisations, media and traditional institutions in peacebuilding.

At the end of the course, students should be able to:

• Identify business opportunities in Nigeria through environmental scanning and market research, considering social, climate, and technological factors.
• Understand entrepreneurial finance options like venture capital, equity finance, microfinance, and small business investment organisations.
• Grasp the principles of marketing, customer acquisition, and retention, as well as e-commerce models (B2B, C2C, B2C), learning from successful e-commerce companies.
• Acquire skills in small business management, family business dynamics, negotiation, and modern business communication methods.
• Demonstrate their ability to generate business ideas and explore emerging technologies for market solutions and digital business strategies.

At the end of this course, students should be able to:

• Recognise operating system types and structures.
• Describe OS support for processes and threads.
• Recognise CPU scheduling, synchronisation, and deadlock.
• Resolve OS issues related to synchronisation and failure for distributed systems.
• Explain OS support for virtual memory, disk scheduling, I/O, and file systems.
• Identify security and protection issues in computer systems.
• Use C and Unix commands, examine behaviour and performance of Linux, and develop various system programmes under Linux to make use of OS concepts related to process synchronisation, shared memory, mailboxes, file systems, etc.

At the end of this course students should be able to:

• Verify the groundwork that has been done before construction. Students will also learn the object-oriented design approach.
• Write a pseudocode and its conversion into any specific programming language.
• Perform collaborative development, refactoring and integration techniques.
• Carry out different formatting and commenting approaches.

At the end of this course students should be able to:

• Explain business models, identify some entrepreneurial opportunities available in Software Engineering.
• Describe and create business plans and business startup processes.
• Explain and perform business feasibility and strategy, marketing strategies and discuss business ethics and legal issues.

At the end of this course students should be able to:

• Explain the processes, principles, and techniques of software testing and analysis.
• Explain a full spectrum of topics from basic principles and underlying theory of testing to organisational and process issues in real-world applications.

At the end of this course students should be able to:

• Explain mobile infrastructures, mobile technologies, and design and implementation skills for mobile apps using contemporary development methodologies and environments.
• Explain mobile systems, mobile operating systems, mobile application development environments, short-range communication technologies (Bluetooth, WiFi), mobile application development methodologies (Android-Java, iOS-Swift), mobile application deployment and distribution, and mobile networks and communication infrastructures (GSM, CDMA, 3G/WCDMA/UMTS).

At the end of the course the students should be able to:

• Describe the components of a database system and give examples of their use.
• Describe the differences between relational and semi-structured data models.
• Explain and demonstrate the concepts of entity integrity constraint and referential integrity constraint.
• Apply queries, query optimisations and functional dependencies in relational databases.
• Describe properties of normal forms and explain the impact of normalisation on the efficiency of database operations.
• Describe database security and integrity issues and their importance in database design.
• Explain the concepts of concurrency control and recovery mechanisms in databases.

At the end of the course, students should be able to:

• Distinguish qualitative and quantitative research methodologies and their applications.
• Identify and define a research problem in a given area.
• Identify different methods of data collection and select the methods appropriate to a given situation.
• Design and conduct simple research including analysis and interpretation of research results.
• Document research problem, methodology all the way to research report writing.
• Defend the written research report.
• Familiarize themselves with ethical issues in the conduct of research.

At the end of the course, students should be able to:

• Explain the use of big-O, omega, and theta notation to describe the amount of work done by an algorithm.
• Use big-O, omega, and theta notation to give asymptotic upper, lower, and tight bounds on time and space complexity of algorithms.
• Determine the time and space complexity of simple algorithms.
• Deduce recurrence relations that describe the time complexity of recursively defined algorithms.
• Solve elementary recurrence relations, for each of the strategies (brute-force, greedy, divide-and-conquer, recursive backtracking, and dynamic programming), identify a practical example to which it would apply.
• Use pattern matching to analyse substrings.
• Use numerical approximation to solve mathematical problems, such as finding the roots of a polynomial.

At the end of this course, students should be able to:

• Acquire comprehensive knowledge and understanding of project management, including planning, scheduling, and resource utilization.
• Be adept at efficiently managing project resources, making procurement decisions, and effectively monitoring and executing projects with excellent communication and time management skills.
• Be prepared to successfully lead and oversee projects, ensuring their timely and successful completion.
• Be equipped with the necessary skills to handle project complexities, adapt to changing circumstances, and make informed decisions to achieve project goals.
• Be prepared for real-world project management scenarios, enabling them to excel in managing and delivering successful projects.

At the end of this course students should be able to:

• Identify a researchable project topic in Software Engineering, search and review literature pertinent to identify problem statements and acknowledge and reference sources of information used in the research report.
• Conceptualize and design a research methodology to address the identified problem.
• Determine tools for analyzing data collected based on research objectives.
• Present the written project proposal.

At the end of this course students should be able to:

• Provide the importance of software configuration management.
• Explain typical processes in software configuration management & maintenance.
• Provide key issues in software maintenance.

At the end of this course students should be able to:

• Provide fundamental problems, principles, and techniques in software reverse engineering of binaries including static analysis techniques, disassembly algorithms, dynamic analysis techniques, automated static and dynamic analysis techniques, malware analysis techniques, anti-analysis techniques, and malware obfuscation and packing techniques.
• Demonstrate and practice many of the techniques using IDA.
• Analyze new malware samples and firmware samples, and develop new analysis tools.

At the end of this course, students should be able to:

• Explain AI fundamentals, concepts, goals, types, techniques, branches, applications, AI technology and tools.
• Discuss intelligent agents, their performance, examples, faculties, environment and architectures, and determine the characteristics of a given problem that an intelligent system must solve.
• Describe the Turing test and the “Chinese Room” thought experiment, and differentiate between the concepts of optimal reasoning/behavior and human-like reasoning/behavior.
• Describe the role of heuristics and the trade-offs among completeness, optimality, time complexity, and space complexity.
• Analyze the types of search and their applications in AI and describe the problem of combinatorial explosion of search space and its consequences.
• Demonstrate knowledge representation, semantic network and frames along with their applicable uses.
• Practice Natural Language Processing, translate a natural language (e.g., English) sentence into a predicate logic statement, convert a logic statement into clause form, apply resolution to a set of logic statements to answer a query.
• Analyze programming languages for AI and expert systems technology, and employ application domains of AI.

At the end of the course, students should be able to:

• Explain the state laws and regulations related to ethics.
• Identify and explain relevant codes of ethics, social and ethical issues in different areas of Software Engineering.
• Review real-life ethical cases and develop ethical resolutions and policies.
• Explain the consequences of ignoring and non-compliance with ethical provisions.
• Develop a sound methodology in resolving ethical conflicts and crisis.

Upon completing this course, students will:

• Acquire comprehensive knowledge and understanding of the cloud landscape, including architectural principles, techniques, design patterns, and real-world best practices for both cloud service providers and consumers.
• Grasp the essentials of delivering secure cloud-based services, encompassing cloud security architecture, guiding security design principles, industry standards, applied technologies, and regulatory compliance requirements.
• Be equipped to design, implement, deliver, and manage secure cloud-based services, ensuring data protection and maintaining the integrity of cloud environments.
• Be prepared to navigate the complexities of cloud security, enabling them to contribute effectively to the development and management of secure and resilient cloud infrastructures in various industry settings.