CCMAS Course Search
Browse BRIDGE's courses under the National Universities Commission's Core Curriculum Minimum Academic Standards (CCMAS) — Nigeria's unified benchmark curriculum for every accredited program. Search by course title, code, faculty or programme to see full descriptions, learning outlines and credit-hour loads.
4,624
Courses
10
Faculties
168
Programmes
Showing 3841–3850
of 4,624 courses
BUD 511
2
At the end of the course, students should be able to: 1. explain materials and equipment for prestressing concrete; 2. analyse and design plates and shells as well as reinforced concrete frame design; 3. discuss properti...
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Design of foundations, analysis and design of plates and shells as well as reinforced concrete
frame design. Pre-stressed concrete classification to Eurocode. Pre-stressing methods, materials
and equipment for pre-stressing. Properties of steel and concrete for pre-stressed concrete.
Analysis of sections subject to axial and eccentric pre-stressed forces. Determination of minimum
pre-stressed force. Retaining walls, types of retaining walls; joints in water retaining walls,
analysis of retaining walls for stability, reinforcement details in retaining walls. Basic knowledge
of design consideration and procedures. Composite structures. Design of shallow foundations.
GEO 308
2
We are in the digital age and students of geography must appreciate the significance of geographic information system in addressing complex spatial problems. At the end of the course, the students should be able to: 1. i...
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Introduction to Remote sensing, Key contents include: Elements of remote sensing system,
Techniques of remote sensing. Interpretation and analysis of visual and digital imageries. remote
sensing application, Integration of remote sensing and GIS in geographical research, case studies
GIS and the information age, Capabilities of GIS, Spatial data and their sources for GIS analysis,
Raster and Vector data, Data Entry, GIS analysis and modelling data issues and problems.
GEO 407
3
This course prepares the students to move beyond understanding of key concepts in remote sensing to real processing and analyses of digital images. He /She is taught to understand Spatial Database Management Systems and...
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Remote Sensing analytic digital image processing system. Fundamentals (Computers imaging
systems, image representation- colour space, image sampling quantization, quality measurement,
data products, storage and retrieval- Photowite systems, dip systems and software. Preprocessing
(Encoding and decoding, sources of image degradation, atmospheric, radiometric and geometric
errors, systematic and non-systematic correction, image geometry operations. Image
Enhancement (Image characters, histogram, scatter plots, statistics and spatial statistics for
processing, image models, spatial transforms, enhancements: radiometric and geometric
operators, Fourier transforms, scale space transforms, image fusion, texture analysis. Image
Classification (Spectral discrimination pattern matching Baye’s theorem- signature and feature
extraction- training and classification, supervised and unsupervised methods error matrix and
accuracy estimates. Image Analysis (Concept of uncertainty, fuzzy partitioning, neural nets, sub-
pixel classification concept, pattern recognition, feature descriptors). Remote sensing application,
Integration of Remote Sensing and GIS in geographical research, case studies.
(Basic concepts of Data, Information, File system vs DBMS, Data models, Hardware and software
requirements, Database Management Systems, Database languages, Database Architecture,
users and administrators, Classification of Database Management Systems. Relational Data Model
(Relational model, Data Structure, Constraints, Key, Codd’s Rule, Relational Algebra, Fundamental
operations, Additional operations, Extended operations Null values. SQL (SQL, Data Definition,
Basic structure of SQL queries, set operations, Aggregate, Functions, Null values, Nested sub
queries, Complex queries, Views, Embedded SQL, Dynamic SQL, Triggers. Database Design and
Management (Design process, Entity Relationship Model, Constraints, EER, Diagrams, Atomic
domain and First Normal Form, Functional Dependency, Decomposition using Functional
dependencies, Normalization using Multi-Valued Dependencies and Join Dependencies, Basic
concepts of file organizations, indexing and hashing, Database recovery techniques, Database
Security, Handling Spatial Database. Accessing Data Using Ado.Net and Vb.Net (ADO.Net Object
Model using OLE DB managed provider, other data providers, Accessing XML data, Building
Windows).
Minimum academic standards
Equipment
Laboratories required for geography
Cartography laboratory
List of Equipment required:
1. Topographic maps
2. Theodolite
3. Prismtic compass
4. Abney level
5. Hand held Global Positioning System
6. Cross staff
7. Lighting Tables
8. Measuring tapes
9. Plane table equipment
10. Ranging poles
11. Graduated handheld soil auger
Soil and earth science laboratory
List of Equipment required:
1. Portable multi-parameter meter for water quality analyzer
2. Agient 240AA Atomic Absorption Spectrometer
3. Soil auger
4. Digital heating mantle spots
5. Volumeric flask
6. Conical/flat bottom flask
7. Beakers
8. Funnel plastic/glass
9. Glass dish
10. Test-tubes with holder and rag
GIS laboratory
List of Equipment required:
1. Workstation with Computers
2. GIS Software (Arc GIS 10.9 and ENV 5,7 saver or standalone
3. Projector
4. Interactive Screen
5. GNSS Rover System
weather station
1. Manual Weather Station with Raingauge, Stevenson’s screen, Anemometer, Wind vane,
Sundial, evaporimeter, soil thermometers, temperature thermometers, Barometer, for
demonstration teaching and learning.
OR
2. Automated Weather Station with Computer and recordings.
Staffing
The personnel requirements for the programme should reflect students’ population and the
variety of activities to be performed in the classrooms, studios, laboratories and workshops. The
ratios should conform to the NUC minimum guidelines on staff/student ratio of 1:15.
Academic Staff
The point of entry for each of the recognized academic positions should reflect appropriate
academic qualifications, and experience in both teaching and professional practice. Details of the
requirements for the various positions are indicated below:
1. Academic Support Personnel
Teaching Assistant/Demonstrators are recommended to assist lecturers in the conduct of
tutorials, practicals and fieldwork.
2. Administrative Support Personnel
The services of the administrative support staff are indispensable in the proper administration of
the departments. These will normally include confidential secretaries, clerical officers, typists,
messengers and cleaners. It is important to recruit very competent senior personnel who are
technology savvy.
3. Technical Support Personnel
The technical support personnel shall consist of technical officers and technologists. It is
important to recruit very competent senior technical staff to maintain teaching and research
equipment.
Library
A Departmental and or Faculty Library with local, national and international journals, current
books.
Apart from the Faculty and Main University Library, a Department of Geography should be
provided with fully equipped library and GIS Laboratory with computers and Internet connectivity
and current reference books, periodicals, journals and audio-visual materials. The Department
should ensure that updated literatures (soft and hard copies) in all fields of Geography and related
disciplines are in the libraries (University and Faculty or Departmental Libraries).
Classrooms, Laboratories, Clinics, Workshops and Offices
Space Use Minimum (m²)
1. Professors Office Academic 24
2. Head of Department Administration 24
3. Senior Lecturer Academic 20
4. Lecturer Academic 16
5. Assistant Lecturer Academic 12
6. Senior Technical Staff Technical 12
7. Senior Administrative Staff Administration 12
8. Junior Technical Staff Technical 10
9. Junior Administrative Staff Administration 10
10. Studio Space Students 30
11. Lecture Space Students 75
12. Seminar Space Students 30
13. Laboratory Space Students 30
14. Library Students 35
15. Social Space Students 40
16. Storage Space Students 30
SVG 302
2
At the end of this course, students should have the ability to: 1. explain electromagnetic energy interaction between atmosphere and earth surface; 2. demonstrate understanding of satellite orbit and its characteristics;...
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Basic concept of Remote Sensing, Electromagnetic radiation and spectrum. Energy interaction with
atmosphere and earth surface. Spectral reflectance curves. Passive and active sensing.
Platforms, sensors and resolution. Satellite orbital types and characteristics. Overview of popular
active sensors which includes MeteoSat, NOAA, LandSat, SPOT, Ikonos, and Quick Bird. Aerial
survey missions such as UAVs. Radiometric, spectral, spatial and temporal resolutions and
multispectral imagery. Image analysis, visual interpretation and image classification. Presentation
of remote sensing data and results.
SVG 406
2
After the conclusion of this course, students should be able to: 1. discuss fundamentals of digital image processing; 2. carry out pre and post processing exercises on images; 3. demonstrate the understanding of image an...
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Analytic digital image processing system. Computer imaging systems, image representation in
colour space. Image sampling quantization, quality measurement, data products, storage and
retrieval. Photo systems and dip systems. Pre-processing (Encoding and decoding). Sources of
image degradation, atmospheric, radiometric and geometric errors, systematic and non-
systematic correction and image geometry operations. Image Enhancement, image characters,
histogram, scatter plots, statistics and spatial statistics for processing, image models. Spatial
transforms, enhancements, radiometric and geometric operators. Fourier transforms, scale space
transforms, image fusion and texture analysis. Image classification, spectral discrimination
pattern, matching Baye’s theorem- signature and feature extraction and training. Supervised and
unsupervised methods, error matrix and accuracy estimates. Image analysis, concept of
uncertainty, fuzzy partitioning, neural nets, sub-pixel classification concept, pattern recognition,
feature descriptors. Remote sensing applications, Integration of Remote Sensing and GIS.
DNT 301
2 Unit(s) (LH 30)
At the end of this course, students should be able to: 1. identify the types of partial dentures; 2. list the types of overdentures and flexible dentures; 3. list the stages of fabrication of partial, complete, flexible,...
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Introduction to types of partial dentures fabricated using acrylic resin and other polymers. Aspects
of complete denture prosthodontics from the fabrication of special trays. Bite blocks mounting of
casts on the articulators. Types of articulators, advantages and disadvantages of each type of
articulators. Face bow and face bow transfer techniques. Setting up of teeth. Processing and
finishing of acrylic-based dentures. Different materials used in fabrication of flexible dentures,
advantages and disadvantages of each material. The process of fabrication of partial denture in
flexible denture materials and finishing. Process of fabrication of overdentures in acrylic resin
materials. Relining and rebasing of dentures. Acrylic denture repairs.
DNT 302
2 Unit(s) (LH 30)
At the end of this course, students should be able to: 1. demonstrate knowledge and skill in fabricating metallic-based removable appliances; 2. demonstrate knowledge of retention, bracing, and fulcrum principles in the...
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Anatomy, physiology, design as well as safety of metal-based removable appliances. Theoretical
knowledge and principles of fabrication of removable metal-based dental appliances, such as
metal-based partial dentures, complete dentures, overdentures. Design of metallic prosthodontic
appliance with emphasis on rests, rest seats, clasp position and approach, metallic mainframe.
Combination of metallic and non-metallic denture base materials. Principles of supporting units
for partial dentures – on lays, rests, hook, continuous clasps, plates, bars. The general pattern of
investment procedures, wax elimination, and heat soaking, casting in various types of casting
machines, trimming, polishing, and finishing.
PIO 212
2 Unit(s) (LH 30)
At the end of the course, the students should be able to 1. sketch a cross section of a kidney; identify the renal cortex, renal medulla, renal calycies, medullary pyramids, renal pelvic space, renal artery, renal vein,...
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Macroscopic, microscopic and ultra-structure of the kidney. Elements of renal functions.
Glomerular filtration. Concept of clearance. Tubular reabsorption and secretion. Renal blood flow.
Body fluid and electrolyte balance. Buffer mechanism and pH regulation. Counter-current system.
Micturition. Abnormalities of renal functions. Composition and estimation of body fluid
compartments. Concept of water and electrolyte balance. Role of the kidney in body fluid
homeostasis.
300 Level
PIO 212
2 Unit(s) (LH 30)
At the end of this course, the student should be able to: 1. sketch a cross section of a kidney; identify the renal cortex, renal medulla, renal calycies, medullary pyramids, renal pelvic space, renal artery, renal vein,...
View learning outline
Macroscopic, microscopic and ultra-structure of the kidney. Elements of renal functions.
Glomerular filtration. Concept of clearance. Tubular reabsorption and secretion. Renal blood flow.
Body fluid and electrolyte balance. Buffer mechanism and pH regulation. Counter-current system.
Micturition. Abnormalities of renal functions. Composition and estimation of body fluid
compartments. Concept of water and electrolyte balance. Role of the kidney in body fluid
homeostasis.
PIO 212
2 Unit(s) (LH 30)
On completion of this course, the student should be able to; 1. sketch a cross section of a kidney; identify the renal cortex, renal medulla, renal calycies, medullary pyramids, renal pelvic space, renal artery, renal ve...
View learning outline
Macroscopic, microscopic and ultra-structure of the kidney. Elements of renal functions.
Glomerular filtration. Concept of clearance. Tubular reabsorption and secretion. Renal blood
flow. Body fluid and electrolyte balance. Buffer mechanism and pH regulation. Counter-current
system. Micturition. Abnormalities of renal functions. Composition and estimation of body fluid
compartments. Concept of water and electrolyte balance. Role of the kidney in body fluid
homeostasis.