i
FEDERAL U N I V E R S I T Y OYE-EKITI,
EKITI STATE, NIGERIA
FACULTY OF SCIENCE
DEPARTMENT OF COMPUTER SCIENCE
UNDERGRADUATE ACADEMIC PROSPECTUS
2017 – 2020
ii
All Right Reserved
Except for academic purpose, in each short excerpts can be quoted from
this book on the condition that the source is well acknowledged. No part
of this publication may be reproduced, stored in a retrieval system, or
transmitted in any form or by any means, electronically, mechanically,
photocopying, recording or otherwise without the permission of the
Department of Computer Science, Faculty of Science, Federal University
Oye-Ekiti.
Revised Edition 2017
First Published 2015
A publication of the Department of Computer Science
© Department of Computer Science,
Faculty of Science, Federal University Oye-Ekiti, Nigeria.
P.M.B.373, Oye Ekiti. Ekiti State.
iii
Prof. O. S. Lawal
Dean,
Faculty of Science
iv
Dr. O. Obe
Ag. Head of Department,
Computer Science Department
v
FOREWORD
his prospectus showcases the Department of Computer Science
concisely and almost exhaustively. In particular, the philosophy,
objectives and curriculum of the degree program in the Department of
Computer Science are presented in this prospectus. Furthermore, the lists
of the staff in the Department are presented; other issues in it include:
regulations guiding examinations, academic atmosphere, administration,
admission requirements and result grading.
Arising from the above, an interested reader can find all the basic
information about the degree program being run in the Department, the
lists of different categories of staff, and the course synopses of the
program with ease. The prospectus is handier than that of the entire
faculty and of course, affords one, a quicker access to its contents than
does the faculty handbook. It is therefore an indispensable companion of
every student and staff, in the Department, as well as an image maker of
the department. It will however be updated from time to time to reflect
current developments in any of its contents.
Dr. O. Obe
Ag. Head – Computer Science Department,
Federal University Oye
Oye-Ekiti, Nigeria.
T
vi
TABLE OF CONTENTS
Cover Page i
Foreword v
Table of Content vi
Name of Program 1
Programme Philosophy, Aims and Objectives 1
Entry Requirements 2
Admission and Registration 3
Instructional Methods and Assessment 4
Graduation requirements 6
Quality Assurance 7
Course Summary 8
Course Structure by Semester 9
Course Description/ Synopsis 18
Career Outlets and Job Opportunities for Graduates
of the Programme 29
Staffing 30
1
NAME OF PROGRAMME: Bachelor of Science (B. Sc) in Computer
Science
PROGRAM CODE: CSC
PROGRAMME PHILOSOPHY, AIMS AND OBJECTIVES
The Bachelor of Science (B.Sc.) degree in Computer Science is designed
to emphasize the importance of science and technology of computing. It
is intended to produce graduates who are adequately equipped to meet
the challenges of solving various and numerous computing problems in
the world. The philosophy of the programme is thus, the development of
the fundamentals of computer science for human capacity building,
economic, industrial, scientific and technological advancement of the
nation.
Computer Science programme is designed to produce graduates who are
capable of applying the theoretical knowledge and practical skills
acquired in computing to solveemerging problemsand challenges in
industries, business, commerce, education, medicine, government,
agriculture, defence and the society in general; and to stimulate
development and research in these areas to meet man’s aspirations.
The programme emphasizes the importance of the underlying theory of
various branches of Computer Science and provides a wide spectrum of
application areas for the production of well-grounded graduates in the
discipline. The objectives of the degree programme, therefore, are:
i. To produce Computer Science graduates who are academically
equipped to pursue postgraduate programmes in computer
science and or in related disciplines, thus stimulating
development and research in those areas.
2
ii. To produce graduates who are capable of applying computer
science, computer technology and information technology in
solving human problems and emerging challenges in industries,
business, commerce, education, medicine, government, defence
and the society in general.
iii. To provide suitable service courses for specialists in other
disciplines to enable these specialists to increase their
competence, skills and level of proficiency in their various works
and fields.
iv. To engender new developments in computer science with a view
to promoting special interest in entrepreneurship abilities of
potential graduates by exposing them to modern development in
information technology.
ENTRY REQUIREMENTS:
Applicants seeking admission into the Bachelor of Science degree in
Computer Science must satisfy the following requirements
UTME ENTRY REQUIREMENTS
Five ‘O’ Level credits in NOT more than TWO sittings including
English, Mathematics, Physics, Chemistry and one other Science Subject
UTME Subjects: English, Physics, Mathematics and Chemistry
DIRECT ENTRY REQUIREMENTS
Two ‘A’ Level passesin Science subjects including Mathematics and
Physics
OR
National Diploma in Computer Science with at least an Upper Credit
from a recognized University or Polytechnic or NCE in
(i) Computer Science/Mathematics
(ii) Computer Science/Physics
3
(iii) Mathematics/ Physics
With at least Credit Pass in both subjects.
ADMISSION AND REGISTRATION
ADMISSION
Candidates seeking admission to the University for First Degree Course
must and complete the Joint Admissions and Matriculation Board
(JAMB) forms. Evidence of meeting the requirements as stated above
shall have been considered. Candidates shall obtain their Admission
letters from the Admissions Office in the University.
REGISTRATION OF COURSES
After due process of screening at the Faculty and Departmental offices,
the candidate shall be provided with the list of courses for the semester
for registration purposes. Registration for a course shall normally be
within the first two weeks of resumption in a semester. Late registration
shall be allowed after payment of the late registration fee shall come up
within two weeks following the normal registration period. Any student
who fails to register up to the end of the late registration period shall be
deemed to have unilaterally withdrawn from the University for that
session. If it is discovered at anytime that a candidate does not possess
any qualification which he/she claims to have obtained, he/she will be
expelled from the University.
DROPPING OF COURSES
Registration of a course at the beginning of a session automatically means
registration for the course and the examination. A student who wishes to
add or delete a course must do so within six weeks of commencement of
lectures in the course by completing the prescribed form obtainable from
the Academic Affairs Office. The maximum number of units a student
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can register for is 24 units per semester. The minimum number of units a
student can register for is 15 units per semester.
INSTRUCTIONAL METHODS AND ASSESSMENT
LANGUAGE OF INSTRUCTION
The language of instruction is English Language
TEACHING METHODS
Teaching is done through face-to-face classroom delivery as well as
through the use of ICT facilities. Practicals are conducted on a regular
basis as scheduled on the time table
MODE OF ASSESSMENT
The course evaluation is made up of:
(i) Continuous Assessment, that is, Series of Practical, Assignments
and Tests,
(ii) End of Semester Examination.
Continuous Assessment contributes at least 40% to the final evaluation
of the course, while end of semester examination contributes at most
60%.
RESEARCH PROJECT
Students are expected to carry out a research work and submit completed
research to the department. The research work will be done at the final
year running for two semesters.
GRADING OF COURSES
The performance of Computer Science students is evaluated with the
following methods:
i. Practical programming assignments
ii. Theoretical assignments
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iii. Quizzes
iv. End of Semester Examination
COLLATION OF MARKS
A maximum score of 40% is allocated to continuous assessment while
the end of semester examination is allocated a maximum of 60% score
making a total of 100%.
The student's score in each course is attached points as follows:
Score Letter Grade Point (P)
70 and above A 5
60 to 69 B 4
50 to 59 C 3
45 to 49 D 2
40 to 44 E 1
0 to 39 F 0
Based on the above information, a student who obtained a grade of' ‘A'
in a 3-unit course will obtain15 (3*5) credit points and another who
obtained a grade of C will score 9 (3*3) credit points.
A credit point is thus the product of the course units and the rating (Point)
in each course. The Sum of all credit points for the semester is the Total
Credit Point (TCP).
The Grade Point Average (GPA) is the TCP divided by the Total Credit
Units (TCU). The highest GPA that can be earned is 5.0 and the lowest
is 0 (zero). The Cumulative Grade Point Average (CGPA) is the
summation of the TCP for all semesters divided by the summation of
TCU's for the said semesters. Like the GPA, the CGPA obtained range
from 0 to 5. The CGPA is calculated from all courses taken.
6
CLASSES OF DEGREE
CGPA
Class
4.50 – 5.00
First Class
3.50 - 4.49
Second Class Upper
2.50 - 3.49
Second Class Lower
1.50 - 2.49
Third Class
0.00 – 1.49
Fail
EXAMINATION MALPRACTICES
Examination misconduct such as copying other students' work,
impersonation, bringing illegal materials into the examination hall,
exchanging answers with other students, and so on are usually visited
with severe punishments.
ABSENCE FROM EXAMINATION
Candidates who fail to present themselves for an examination for reasons
other than illness, accident or some exceptional circumstances shall be
deemed to have failed the course. Any student absent on the ground of
illness must produce a medical report certified by the University Director
of Health Services
GRADUATION REQUIREMENTS
A student shall qualify for the award of a B.Sc. Computer Science degree
when he/she have:
a. passed all core /compulsory courses, required courses and some
of the electives recommended for the award of Bachelor of
Science degree in Computer Science, and would have
accumulated a minimum of 156 units for students admitted
through UTME and a minimum of 119 units for those admitted
by direct entry;
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b. obtained a CGPA of not less than 1.50;
c. completed all class work; industrial attachments, seminars
and projects.
QUALITY ASSURANCE
To maintain high quality,
a. Course materials shall be of high standard and updated
with current information.
b. Continuous assessment shall be given priority of place as
well as mid-semester test.
c. Examination questions and marking schemes shall be
subjected to external moderation.
d. Vetting of answer scripts shall be carried out
e. Academic staff will be evaluated annually
f. There will be regular review of course and program
COURSE OUTLINE
SUMMARY OF COURSES
To be awarded a Bachelor of Science (B. Sc) Degree in Computer
Science, the student must pass a minimum Credit of 162 Units,
distributed as follows:
a. Compulsory Courses
(including Project/Dissertation) - 101 Credit Units
b. Required Courses - 50 Credit Units
c. Elective Courses - 05 Credit Units
d. General Studies Courses - 06 Credit Units
TOTAL - 162 Credit Units
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SUMMARY OF DISTRIBUTION OF COURSE CREDITS BY LEVELS
Level
Sem
ester
General courses
Compulsory
Courses
Required
Courses
Elective Courses
Total
No. of
courses
No. of
credit
units
No. of
courses
No. of
credit
units
No. of
courses
No. of
credit
units
No. of
courses
No. of
credit
units
No. of
courses
No. of
credit
units
100
1
st
2
4
8
18
1
2
0
0
11
24
100
2
nd
1
2
9
19
0
0
1
2
11
23
200
3
rd
0
0
5
15
3
5
0
0
8
20
200
4
th
0
0
2
6
5
15
1
1
8
22
300
5
th
0
0
5
15
3
8
0
0
8
23
300
6
th
0
0
3
9
4
12
1
2
8
23
400
7
th
0
0
2
7
3
8
0
0
5
15
400
8
th
0
0
3
12
0
0
0
0
3
12
TOTAL
3
6
37
101
18
50
3
5
62
162
9
Bachelor of Science (B.Sc.) degree in Computer Science
100 LEVEL FIRST SEMESTER
Course Code
Course Title
Status
L
T
P
Credit Units
CSC 101
Introduction to Computer Science I
C
2
1
3
GST 111
Communication in English I
G
2
-
-
2
GST 121
Use of Library, Study Skills and ICT
G
2
-
-
2
GST 113
Nigerian Peoples and Culture
R
2
-
-
2
CHM 101
General Chemistry I
C
2
1
-
3
CHM 107
Practical Chemistry I
C
-
-
3
1
PHY 101
General Physics I
C
2
1
-
3
PHY 107
General Physics Practical I
C
-
-
3
1
BIO 101
Introductory Biology I
C
2
1
-
3
BIO 107
Practical Biology I
C
-
-
3
1
MTH 101
General Mathematics I
C
2
1
-
3
Total Credit Units
24
10
100 LEVEL SECOND SEMESTER
Course Code
Course Title
Status
L
T
P
Credit
Units
CSC 102
Introduction to Computer Science II
C
2
-
1
3
GST 102
Communication in English II
G
2
-
-
2
GST 106
Evaluating Opportunities & Business Concept
C
1
-
3
1
GST 112
Logic, Philosophy & Human Existence
E
2
2
CHM 102
General Chemistry II
C
2
1
-
3
CHM 108
Practical Chemistry II
C
-
-
3
1
PHY 102
General Physics II
C
2
1
-
3
PHY 108
Practical Physics II
C
-
-
3
1
BIO 102
Introductory Biology II
C
2
1
-
3
BIO 108
Practical Biology II
C
-
-
3
1
MTH 102
General Mathematics II
C
2
1
-
3
Total Credit Units
23
11
200 LEVEL (FIRST SEMESTER)
Course Code
Course Title
Status
L
T
P
Credits
CSC 201
Computer Programming I
C
2
-
1
3
CSC 203
Operating Systems I
C
2
-
1
3
CSC 299
Industrial Training (12 Weeks)
C
2
1
-
3
MTH 209
Numerical Analysis
C
2
-
-
3
MTH 201
Mathematical Methods
C
2
-
-
3
GST 125
Contemporary Health Issues
R
2
-
-
2
GST 211
Environment&Sustainable Development
R
2
-
-
2
GST 223
Introduction to Entrepreneurship
R
1
-
-
1
Total Credit Units
20
12
200 LEVEL (SECOND SEMESTER)
Course Code
Course Title
Status
L
T
P
Credits
CSC 202
Computer Programming II
C
2
-
1
3
CSC 204
Fundamentals of Data Structures and
Algorithms
R
2
-
1
3
CSC 206
Theory of Computation
C
2
-
1
3
CSC 208
Discrete Structure
R
2
1
3
CSC 210
Foundations of Sequential Program
R
2
-
1
3
CSC 212
Computer Hardware
R
2
1
-
3
CSC 214
Data Analysis
E
1
-
-
1
PHY 202
Electric circuits and Electronics
R
2
1
-
3
Total
22
NOTE: Students are to pick one elective.
13
300 LEVEL (FIRST SEMESTER)
Course Code
Course Title
Status
L
T
P
Credits
CSC 301
Structured Programming
C
2
-
1
3
CSC 303
Computational Science & Numerical Methods
R
2
1
-
3
CSC 305
Operating Systems II
C
2
1
1
3
CSC 307
Computer Architecture and Organization I
R
2
-
1
3
CSC 309
Research Methodology
C
2
-
1
3
CSC 311
Systems Analysis and Design
C
2
1
-
3
CSC 399
Industrial Training II (12 Weeks)
C
2
-
1
3
GST 311
Entrepreneurship
R
2
-
-
2
Total
23
14
300 LEVEL (SECOND SEMESTER)
Course Code
Course Title
Status
L
T
P
Credits
CSC 302
Object- Oriented Programming
C
2
-
1
3
CSC 304
Database System Management I
C
2
-
1
3
CSC 306
Compiler Construction I
C
2
1
-
3
CSC 308
Computer Architecture and Organization II
R
2
1
-
3
CSC 310
Algorithms and Complexity Analysis
R
2
1
-
3
CSC 312
Survey of Programming Language
R
2
1
1
4
GST 222
Peace Studies and Conflict Resolution
E
2
-
-
2
GST 224
Leadership Skills
R
2
-
2
Total
23
15
400 LEVEL (FIRST SEMESTER)
Course Code
Course Title
Status
L
T
P
Credits
CSC 401
Organisation of Programming Languages
and Software Laboratory
R
2
1
-
3
CSC 403
Software Engineering
C
2
1
1
4
CSC 411
Artificial Intelligence
C
2
1
3
CSC 421
Net-Centric Computing
R
2
1
-
3
CSC 441
Human Computer Interface
R
2
-
-
2
Total
15
400 LEVEL (SECOND SEMESTER)
Course Code
Course Title
Status
L
T
P
Credits
CSC 402
Computer Networks/Communications
C
2
-
1
3
CSC 404
Data Management II
C
2
1
-
3
CSC 499
Research Project
C
-
1
2
6
Total
12
16
Electives: 9 Units to be selected from:
Course Code
Course Title
Units
Status
LH
PH
CSC 405
Special Topics in Software Engineering
3
E
30
45
CSC 406
Queuing Systems Performance Evaluation
3
E
45
-
CSC 408
Computer System Performance Evaluation
3
E
45
-
CSC 416
Compiler Construction II
3
E
45
-
CSC 422
Project Management
3
E
30
45
CSC 432
Distributed Computing System
3
E
30
45
CSC 433
Computer Graphics and Visualisation
2
E
30
45
CSC 435
Optimization Techniques
3
E
30
45
CSC 452
Formal Models of Computation
3
E
30
45
CSC 461
Information Technology Law
2
E
30
-
CSC 482
Modelling and Simulation
3
E
30
45
CSC 492
Special Topics in Computer Science
3
E
30
45
Minimum Credits Required per Semester = 15
Maximum Credits Required per Semester = 24
C = Compulsory R = Required L = Lectures T = Tutorial P = Practical G= General Studies
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Duration
This programme is essentially a 4 or 3 years programme. Candidates
admitted with WASC, SSCE certificates spend four years and those
admitted with diplomas spend three (3) years, starting at the second
year of the programme.
Course Unit System
The lectures are divided into courses, each having a credit/unit of 1
or more credits. A credit is normally a course of one-lecture hour a
week for a semester of 12-15 weeks. There are core courses and
mandatory/required courses.
Core
Courses are courses that must be taken and must be passed and be
used in the computation of a student's final graduating grade point
average.
Mandatory/Required
Courses are courses that the student must take and passed, but may
not necessarily be used in the computation of his final graduating
grade point average.
A student is allowed to register for not more than 24 credits in a
semester and not less than 15 credits in a semester. In special cases
under load or extra units may be allowed subject to Senate’s approval.
Industrial Training Experience
Industrial training is one of the requirements for the award of B.Sc.
Degree in Computer Science. Our students will therefore be sent on a
three(3) months industrial training at the end of the second semester
of 200 and 300 levels.
Students on their ITF experience must submit a report. The report will
be graded along with the seminar talk and report.
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COURSE CONTENT SPECIFICATIONS/SYLLABUS OF ALL
COURSES IN THE PROGRAMME/SUB-PROGRAMME/SUB-
DISCIPLINE/DISCIPLINE:
8. COURSE SYNOPSIS
100 LEVEL
Course Synopses:
CSC 101: Introduction to Computer Science I (3 Credit Units: )
Survey of computers and information processing and their roles in
society. This course introduces a historical perspective of computing,
hardware, software, information systems, and human resources and
explores their integration and application in business and other segments
of society. Students will be required to complete lab assignments using
the PC’s operating system, and several commonly used applications, such
as word processors, spreadsheets, presentations, graphics and other
applications. Internet and on-line resources, browsers and search engines.
CSC102: INTRODUCTION TO COMPUTER SCIENCE II
(3 Credit Units)
Role of Algorithms in problem solving process, concepts and properties
of Algorithms. Implementation strategies, Development of Flow Charts,
Pseudo Codes. Program objects. Implementation of Algorithms in a
programming Language - Visual BASIC/JAVA/C/C++.
200 LEVEL
CSC 201 COMPUTER PROGRAMMING I (3 Credit Units)
Introduction to problem solving methods and algorithm development,
designing, coding, debugging and documenting programmes using
techniques of a good programming language style, programming
19
language and programming algorithm development. A widely used
programming language should be used in teaching the above.
CSC 202 Computer Programming II (3 Credit Units)
Principles of good programming, structured programming concepts,
Debugging and testing, string processing, internal searching and sorting,
recursion. Use a programming language different from that in CSC 201.
E.g. C-Language.
CSC 203 Operating System I (3 Credit Units)
Overview of O/S: Role & Purpose, Functionality Mechanisms to Support
Client- server
models, hand-held devices, Design Issues influences of Security,
networking, multimedia, Windows.
O/S Principles: Structuring methods, Abstraction, processes of resources,
Concept of APIS Device organization interrupts.
CSC 204 Fundamentals of Data Structures and Algorithms
(3 Credit Units:)
Primitive types, Arrays, Records Strings and String processing, Data
representation in memory, Stack and Heap allocation, Queues, TREES.
Implementation Strategies for stack, queues, trees. Run time Storage
management; Pointers and References, linked structures.
CSC 206 THEORY OF COMPUTATION (3Credit Units)
Topics in formal languages; roles of models in computation, their relation
to automata theory and their computational complexity. Areas covered
are regular expressions, finite automata, pushdown and linear bounded
automata; formal grammars, parsing and their corresponding classes of
languages, Turing machines, undecidability, recursive functions and
program schemas. Church’s thesis, solvability and Decidability.
20
CSC 208: Discrete Structure (3 Credit Units)
Basic Set Theory: Basic definitions, Relations, Equivalence Relations
Partition, Ordered Sets. Boolean Algebra & Lattices, Logic, Graph
theory: Directed and Undirected graphs, Graph Isomorphism, Basic
Graph Theorems, Matrices; Integer and Real matrices, Boolean Matrices,
Matrices med m, Path matrices. Adjacency Vectors/Matrices: Path
adjacency matrix, Numerical & Boolean Adjacency matrices.
Applications to counting, Discrete Probability Generating Functions.
CSC 210 Foundations of Sequential Program: (3 Credit Units)
The relationships between H/L languages and the Computer Architecture
that underlies their implementation: basic machine architecture,
specification and translation of P/L Block Structured Languages,
parameter passing mechanisms.
CSC 212: Computer Hardware: (3 Credit Units)
Computer circuits; diode arrays, PIAs etc, Integrated circuits fabrication
process. Use of MSI, LSI and VLSI IC’ hardware Design. Primary and
Secondary memories; core memory, etc. Magnetic devices; disks, tapes,
video disks etc. Peripheral devices; printers, CRT’s, keyboards, character
recognition. Operational amplifiers; Analog-to- digital and Digital-to-
analog converter.
CSC 214 – DATA ANALYSIS (2Credit Units)
Review of basic concept of probability theory, common distribution
functions, Binomial & Poisson distribution, distribution functions, the
foundation of statistical analysis, sampling distribution of moments,
statistical tests and procedures, linear regression and correlation analysis,
experimental design, least squares, Laws of large numbers and the central
limit theorem.
21
CSC 299: Industrial Training I (3 Units)
Require 3 months of Industrial Training. Students’ experience will be
documented and
presented in a Seminar.
300 LEVEL
CSC 301 Structured Programming (3 Credit Units)
Structured Programming elements, structured design principles,
abstraction modularity, stepwise refinement, structured design
techniques. Teaching of a structured programming language etc.
Object-oriented databases; client/server systems; data warehouse;
databases in electronic commerce; web database development and
database administration.
CSC 302: Object-Oriented Programming (3 Credit Units)
Basic OOP Concepts: Classes, Objects, inheritance, polymorphism, Data
Abstraction, Tools for developing, Compiling, interpreting and
debugging, Java Programs, Java Syntax and data objects, operators.
Central flow constructs, objects and classes programming, Arrays,
methods. Exceptions, Applets and the Abstract, OLE, Persistence,
Window Toolkit, Laboratory exercises in an OOP Language.
CSC 303: Computational Science and Numerical Methods
(3 Credit Units)
Operations research, Numerical Computation, Graphical computation,
Modelling and simulation, High performance computation.
CSC 304: Database System Management I (3 Credit Units)
Information storage & retrieval, Information management applications,
Information capture and representation, analysis & indexing, search,
retrieval, information privacy; integrity, security; scalability, efficiency
and effectiveness.
22
Introduction to database systems: Components of database systems
DBMS functions, Database architecture and data independence use of
database query language.
CSC 305: Operating System II (3 Credit Units)
Concurrency: States & State diagrams Structures, Dispatching and
Context Switching; interrupts; Concurrent execution; Mutual exclusion
problem and some solutions Deadlock; Models and mechanisms
(Semaphores, monitors etc.)
Producer – Consumer Problems & Synchronization.
Multiprocessor issues.
Scheduling & Despatching
Memory Management: Overlays, Swapping and Partitions, Paging &
Segmentations Placement & replacement policies, working sets and
Trashing, Caching.
CSC 306: Compiler Construction I (3 Credit Units)
Review of compilers assemblers and interpreters, structure and functional
aspects of a typical compiler, syntax semantics and, functional
relationship between lexical analysis, expression analysis and code
generation. Internal form of course programme. Use of a standard
compiler (FORTRAN<COBOL/PL) as a working vehicles. Error
detection and recovery. Grammars and Languages: the parsing problem.
The scanner.
CSC 307: Computer Architecture I and Organization I (3 Credit
Units)
Fundamental building blocks, logic expressive immunization, sum of
product forms. Register transfer notation, Physical considerations. Data
representation, and number bases, Fixed and Floating point systems,
representation memory systems organization and architecture.
23
CSC 308: Computer Architecture and Organization II
(3 Credit Units)
Memory system, general; characteristics of memory operation.
(Technology-magnetic recording semi-conductor memory, coupled
devices, magnetic bubble). Memory addressing, memory hierarchy,
virtual memory control systems. Hardware control, micro programmed
control, Asynchronous control, i/c control. Introduction to the
methodology of faulty tolerant computing.
CSC 309 Research Methodology ( 3 Credit Units)
Formulating a detailed statement of the problem and objectives.
Bibliographic searches to obtain information about prior work.
Analysing research literature to obtain relevant information, identify
trends, and produce annotated bibliographies. Appreciation of
appropriate citation and attribution in research. Selection of an
appropriate method of solution. System design and implementation. Use
of appropriate tools for data capture and analysis. Design and conduct of
practicals. Evaluation of work done. Technical writing and presentation
of results for publication.
CSC 310: Algorithms and Complexity Analysis (3 Credit Units)
Basic algorithmic analysis: Asymptotic analysis of Upper and average
complexity bounds; standard Complexity Classes Time and space
tradeoffs in algorithms analysis recursive algorithms. Algorithmic
Strategies: Fundamental computing algorithms: Numerical algorithms,
sequential and binary search algorithms; sorting algorithms, Binary
Search tress, Hash tables, graphs & its representation.
CSC 311 Systems Analysis and Design (2Credit Units)
System Concepts: System Development Life Cycle, Requirement
Analysis; Fact Gathering Techniques, data flow diagrams, process
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description and Data Modeling, System Design: Structure Charts; Form
Design, Security, Automated Tools for System Design.
CSC 312: Survey of Programming Languages (4 Credit Units)
Overview of programming languages: History of programming
languages, Brief survey of programming paradigms (Procedural
languages, Object-oriented languages, Functional languages, Declarative
– non-algorithmic languages, Scripting languages), the effects of scale on
programming methodology; Language Description: Syntactic Structure
(Expression notations, abstract Syntax Tree, Lexical Syntax, Grammars
for Expressions, Variants of Grammars), Language Semantics (Informal
semantics, Overview of formal semantics, Denotation semantics,
Axiomatic semantics, Operational semantics); Declarations and types:
The concept of types, Declaration models (binding, visibility, scope, and
lifetime), Overview of type-checking, Garbage collection; Abstraction
mechanisms: Procedures, function, and iterations as abstraction
mechanisms, Parameterization mechanisms (reference vs. value),
Activation records and storage management, Type parameters and
parameterized types, Modules in programming languages; Object
oriented language paradigm; Functional and logic language paradigms.
CSC 399: Industrial Training II (3 Credit Units)
Student’s Industrial work experience of 3 months’ duration. Students’
reports will be presented in a seminar.
400 LEVEL
CSC 401: Organization of Programming Languages and Software
Laboratory (3 Credit Units)
Language definition structure. Data types and structures, Review of basic
data types, including lists and tress, control structure and data flow, Run-
25
time consideration, interpretative languages, lexical analysis and parsing.
Pre-requisite – CSC 201, 202, 304, 302.
CSC 402: Computer Networks/Communication (3 Credit Units)
Introduction, wares, Fourier analysis, measure of communication,
channel characteristics, transmission media, noise and distortion,
modulation and demodulation, multiplexing, TDM FDM and FCM
Parallel and serial transmission (synchronous vs asynchronous). Bus
structures and loop systems, computer network Examples and design
consideration, data switching principles broadcast techniques, network
structure for packet switching, protocols, description of network e.g.
ARPANET, etc.
CSC 403: Software Engineering (4 Credit Units)
Software Design: Software architecture, Design Patterns, O. O. analysis
& Design, Design for re-use. Using APIS: API programming Class
browsers and related tools, Component based computing. Software tools
and Environment: Requirements analysis and design modelling Tools,
Testing tools, Tool integration mech.
CSC 404: Data Management II (3 Credit Units)
Rational Databases: Mapping conceptual schema to relational Schema;
Database Query
Languages (SQL) Concept of Functional dependencies & Multi-Valued
dependencies.
Transaction processing; Distributed databases.
CSC 405 : Special Topics in Software Engineering (3 Credit Units)
Topics from process improvement ; software re-engineering
configuration management; Formal specification, software cost –
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estimation, Software architecture, Software patterns, Software Reuse and
Open source development.
CSC 406: Queuing Systems: (3 Credit Units)
Introduction; Birth-death queuing systems; Markovian queues, the queue
M/GI bounds, inequalities and approximations.
CSC 408: Computer System Performance Evaluation
(3 Units: LH 45)
Measurement techniques, simulation techniques; techniques, workload
characterization, performance evaluation in selection problems,
performance evaluation in design problems, evaluation of programme
performance.
CSC 411: Artificial Intelligence (3 Credit Units)
Introduction to artificial intelligence, understanding natural languages,
knowledge representation, expert systems, pattern recognition, the
language LISP.
CSC 416: Compiler Construction II (3 Credit units)
Grammars and languages, recognizers, Top-down and bottom-up
language Run-time storage Organization, The use of display in run-time
storage Organization. The use of display in run time storage allocation.
LR grammars and analysers. Construction of LR table. Organisation of
symbol tablets. Allocation of storage to run-time variables. Code
generation. Optimisation/Translator with systems.
CSC 421: Net-Centric Computing (3 Credit Units)
Distributed Computing, Mobile & Wireless computing, Network
Security; Client/Server Computing (using the web), Building Web
Applications.
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CSC 422: Project Management (3 Credit Units)
Team Management, Project Scheduling, Software measurement and
estimation techniques, Risk analysis, Software quality assurance,
Software Configuration Management, Project Management tools.
CSC 432: Distributed Computing Systems (3 Credit Units)
Introduction: Definitions, Motivation; Communication Mechanisms:
Communication Protocols, RPC, RMI, Stream Oriented Communication;
Synchronization: Global State, Election, Distributed Mutual Exclusion,
Distributed Transactions; Naming: Generic Schemes, DNS, Naming and
Localization; Replication and Coherence: Consistency Models And
Protocols; Fault Tolerance: Group Communication, Two-And Three-
Phase Commit, Check pointing; Security: Access Control, Key
Management, Cryptography; Distributed File Systems: NFS, Coda etc.
CSC 433: Computer Graphics and Visualization (2 Credit Units)
Hardware aspect, plotters microfilm, plotters display, graphic tablets,
light pens, other graphical input aids Facsimile and its problems Refresh
display refresh huggers, changing images, light pen interaction. Two and
three dimensional transformation, perspective Clipping algorithms.
Hidden line removal bolded surface removal. Warnock method/
algorithm, shading, data reduction for graphical input. Introduction to
had writing and character recognition. Curve synthesis and fitting.
Contouring. Ring structures versus doubly linked lists. Elerarchical
structures. Data structure: Organization for intersotive graphics.
CSC 441: Human-Computer Interface (HCI) (2 Credit Units)
Foundations of HCI, Principles of GUI, GUI toolkits;
Human-centred software evaluation and development;
GUI design and programming.
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CSC 452: Formal Models of Computation (3 Credit Units)
Automata theory: Roles of models in computation. Finite state Automata,
Push-down Automata, Formal Grammars, Parsing, Relative powers of
formal models. Basic computability: Turing machines, Universal Turing
Machines, Church’s thesis, solvability and Decidability.
CSC 482: Modelling and Simulations (3 Credit Units)
Basic Definitions and Uses, Simulation Process, Some basic statistic
Distributions Theory, Model and Simulation. Queues; Basic components,
Kendal notation, Queuing rules, Little’s Law, Queuing networks,
Special/types of queues. Stochastic Processes; Discrete state and
continuous state processes, Markov processes, Birth-Death Processes,
Poisson Processes. Random Numbers; types of Random Number
Exercises.
CSC 492: Special Topics in Computer Science (3 Credit Units)
Special topics from any area of computer science considered relevant at
given time. Topics are expected to change from year to year. Apart from
seminars to be given by lecturers and guests, students are expected to do
substantial readings on their own.
CSC 499: Project (6 Credit Units)
Students should embark on work that will lead to substantial software
development under the supervision of a member of staff.
29
9.0 CAREER OUTLETS AND JOB OPPORTUNITIES FOR
GRADUATES OF THE PROGRAMME
Computer Science graduates have a wide range of job opportunities they
can fit into which ranges from industry to academics. It is an established
fact that virtually all sectors: health, education, banking, oil and gas, etc.,
are now relying on Information and Communication Technologies in
order to improve their operations, hence Computer Science graduates can
fit into the IT section of any of these sectors.
In addition, Computer Science graduate can also develop and manage
information system that support a business or organization.
Based on the current trend of research on building intelligent systems,
Computer Science graduates can venture into the development of
computers that simulate human learning and reasoning ability to solve
various problems across different domains.
30
10.0 STAFFING STAFF PROFILE
Dr. O. Obe
Senior Lecturer& Ag. Head of Department,
B.Tech (Akure), M.Sc.(Lagos), Ph.D
(Bucharest), MNCS, MIEEE, IAENG
Department of Computer Science
Dr. O.O. Obe is a Senior Lecturer in Computer Science; He obtained his
degrees in Computer Science from the Federal University of Technology,
Akure (B. Tech.), University of Lagos (M.Sc.) and Politehnica
University of Bucharest (Ph.D.). He is a Member of IEEE, NCS, and
IEANG. He is a recipient of Nigeria/ Romania International Scholar and
Massachussetts Institutes of Technology, Cambridge, USA ETT
fellowship programme (2013). His research interests are Artificial
Intelligence, Robotics, Machine Learning, Soft Computing, Mobile
Systems Technologies. He has to his credit, several articles published in
International and National journals.
31
Prof. A. O. Adetumbi
Professor
B.Tech, M.Tech, Ph.D (Akure), MCPN, MIEE
Computer Science Department.
Dr. Adetunmbi, A.O is a Reader in Computer Science; He obtained his
degrees in Computer Science from the Federal University of Technology,
Akure. He is a Member of Computer Professional of Nigeria (CPN) and
MIEEE. He is a recipient of CAS – TWAS fellowship in 2005 at Institute
of Computing Technology, Beijing and MIT empowering the teacher’s
fellowship programme in 2010. His research interests are Information
Security Data mining and Computational Linguistic.
He has to his credit, several articles published in International and
National journals.
Dr. M. Olagunju
Senior Lecturer,
B.Tech.(Math&Comp.)(Minna), M.Sc.(Maths),
Ph.D (Comp.), (Ilorin)
Department of Computer Science
Dr. Olagunju M. is a Senior Lecturer in the department of Computer
Science. His research interest includesVisualization, and Data Mining.He
has to his credit, several articles published in International and National
journals.
32
Dr. G. O. Ogunleye
Lecturer I,
B.Tech (Ogbomoso)., M.Sc., Ph.D (Akure)
Department of Computer Science
Dr. Ogunleye G.O. is a lecturer in the department of Computer Science.
He obtained his first degree in Computer Science from Ladoke Akintola
University of Technology, Ogbomoso. He bagged his M.Tech and Ph.D
from Federal University of Technology, Akure. He has attended various
national and international conference and has published several articles
in reputable journals. His research interest include Computer and
Information Security, Information Systems, Mobile Agent Systems and
Knowledge management.
O. Folorunsho
Lecturer II,
B.Tech (Maths/Comp.)(Minna), M.Sc (Ibadan)
ACPN, MTRCN, MIAENG
Department of Computer Science
olaiya.folorun[email protected]
Mr. Olaiya FOLORUNSHO received his Master of Science (M.Sc) in
Computer Science of the University of Ibadan, Ibadan, Nigeria, and
Postgraduate Degree in Education (PGDE) of National Teachers’
Institute, Kaduna, Nigeria and a Bachelor of Technology
Mathematics/Computer Science degree of the Federal University of
Technology, Minna, Nigeria. He is currently an Assistant Lecturer at the
Department of Computer Science, Federal University Oye-Ekiti, Ekiti
State, Nigeria. He is a member of the Computer Professionals
33
(Registration Council of Nigeria), the Nigerian Computer Society (NCS),
Teachers’ Registration Council of Nigeria (TRCN) and the International
Association of Engineers (IAENG). His research interests include Data
Mining and Information Security, and Software Engineering. He can be
reached through E-mail ola[email protected].
C. Y. Daramola (Mrs.)
Lecturer II,
B.Sc. (Ed.)(Benin), M.Sc. (Ibadan),
MCPN, MACM, MIAENG
Department of Computer Science
Comfort Y. Daramola (Mrs.) is a Lecturer in the Department of Computer
Science. She obtained the Bachelor of Science (Education) degree from
the University of Benin, Benin City and a Master of Science from the
University of Ibadan. She is currently a Postgraduate student in the
department of Computer Science, Federal University of Technology,
Akure. Her research interest foci are Security, Bioinformatics and
Information System.
Dr. T. M. Fagbola
Lecturer II,
B.Tech (Ogbomoso), M.Sc. (Ibadan),
MCPN, MIAENG
Department of Computer Science
FagbolaTemitayo Matthew is a lecturer and researcher in the Department
of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria. He
bagged B.Tech and M.Sc degrees in Computer Science from
34
LadokeAkintola University of Technology, Ogbomoso, Nigeria and
University of Ibadan, Nigeria respectively and earned his Ph.D programme
in the Department of Computer Science & Engineering, LadokeAkintola
University of Technology, Ogbomoso, Nigeria. He has presented papers in
conferences and published both locally and internationally in the areas of
health informatics, data mining, cybersecurity, soft computing as well as on
web and mobile apps design and development. In 2011, he published a book
on the fundamentals of computing and information technology. His joint-
authored book on “Information Communication Technology (ICT)
Integration to Educational Curricula: A New Direction for Africa” published
in 2015 by University Press of America is still selling fast on major e-
commerce sites. His current research interests are in the area of multimedia
cloud computing re-architecturing, social media computing, ICT in health
and education, video-based face recognition and resolution reconstruction.
He can be reached through temi[email protected]
. The mobile is
+234-703-0513-010.
Dr. O. A.Fagbuagun
Assistant Lecturer,
B. Tech., M. Tech., Ph.D (Akure)
Department of Computer Science
Dr. Fagbuagun Ojo Abayomi is a Lecturer in the Department of Computer
Science, Federal university Oye Ekiti. He obtained his degreesfrom Federal
University of Technology, Akure in the Year 2002, 2011 and 2017. He had
also worked in Novena University Ogume Delta State between 2006 to 2011
as graduate Assistant and Assistant Lecturer respectively. He had some
academic publications in International Journals. He joined the Federal
University Oye Ekiti in 2013 as Assistant Lecturer in the department of
Computer Science.
35
ASSOCIATE/ ADJUNCT STAFF
SN
NAME
QUALIFICATION
CADRE
1.
Prof. Olabode O.
B.Tech., Ind.
Maths(1991) MTech.
Comp. Sci(1999) Ph.D
Comp. Sci(2005)
Professor
2.
Dr. Olaitan
Akinsanmi
B. Eng,UNAD (Elect-
Elect) (1997), M.Tech,
ABU(Elect- Elect)
(2005), Ph.D,
ABU(Elect- Elect)
(2012)
Reader
3.
Prof. Adejuyigbe
S.B. (Mechatronics
Dept.)
H.ND M.Eng (1983);
PGD. M.Eng
(1992);M.Tech M.Eng
(1997) Ph.D, M.Eng
(2002);
Professor
4.
Dr. Enoch O.O
B.Sc Maths(2000) M.Sc
Maths (2007) Ph.D
Maths(2012)
Senior
Lecturer
5.
Dr. Adeyanju I.A.
B.Tech(Comp.
Engineering)(2004),
M.Sc. Computing
Information
Engineering(with
Disctinction) P.hD
Computing(2011)
Senior
Lecturer
36
TECHNOLOGIST
NAME
RANK/DESIG
NATION
QUALIFICATION DATES
OBTAINED MEMBERSHIP OF
PROFESSIONAL
ASSOCIATION
Adeoti E.A.
Technologist I
BSc (2013), HND (2008) Associate
Member, Nigeria Computer Society
Akinpelu S.A.
Technologist I
PGDCS (Comp. Sc.), HND (Comp.
Sc.). MNCS,MIACSIT, MIAENG,
CSTA
Lawal F.B.
Technologist II
B. Sc. (Ed.)(2007), Member, Nigeria
Computer Society
Olarewaju O.E.
Technologist II
B.Sc, 2008, MNCS, MNIM
Kayode R.F.
Technologist II
BSc., 2006, MNCS
ADMINISTRATIVE STAFF
Name of staff
Rank/Designation
Qualification/Date
obtained and
specialization
Mrs. Mike-Ayodele P.
S.
Administrative
Officer. I.
BSc. 2005 (History and
International Studies),
NIIT
Ms. Iloenyosi M.I
Higher Executive
Officer
B.Sc. (Maths), PGD
(Comp. Sc.)
Mrs. Oke O. F.
Executive Office
NCE, 2007
Mrs. Ekundayo R. B.
Clerical Officer
SSCE, 2014
