CCMAS Course Search

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.

Permutation and combination. Concepts and principles of probability. Random variables. Probability and distribution functions. Basic distributions: Binomial, geometric, Poisson, normal and sampling distributions; exploratory data analysis.

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.

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.

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. 200 Level

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.

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.

Electrical Installation. Introduction 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. Trunks and trunking. Electrical Installation design in domestic, commercial, and industry. Alarm and emergency systems. Earthling 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. Lab Work: Demonstration of simple electrical installations using electrical materials including conduits and trunks. Illustration of ICT installations including wired and wireless computer networks. Demonstration of telecommunications installations

Introduction to digital forensics, digital evidence, increasing awareness of digital evidence, challenging aspects of digital evidence. best practices in securing, processing, acquiring, examining and reporting on digital evidence. cyber trail, challenging aspects of the cyber trail, brief history of computer crime and cybercrime investigation, evolution of investigative tools, language of computer crime investigation, the role of computers in crime, technology and law: jurisdiction, pornography and obscenity, child pornography, privacy, copyrights and the “theft” of digital intellectual property, the investigative process, investigative reconstruction, with digital evidence. Examine techniques and tools used by computer forensics investigations such as acquisition, preservation, recovery, and analysis of evidence obtained from portable and stationary computer storage devices, personal digital assistants (PDAs), and cell phones. Students will be exposed to current technologies and methods as well as leading edge techniques with practical based projects and research opportunities. Lab work: Practical exercises on how to make use of various techniques and tools for computer forensics investigations and cyber trail during cybercrime investigations. Practice cyber auditing skills. Work on applying the best practices in securing, processing, acquiring, examining and reporting on digital evidence with current technologies and methods in forensics investigation.

Introduction to digital forensics, digital evidence, and increasing awareness of digital evidence. Challenging aspects of digital evidence. Best practices in securing, processing, acquiring, examining and reporting on digital evidence. Cyber trail and challenging aspects of the cyber trail. Brief history of computer crime and cybercrime investigation. Cyber auditing. Evolution of investigative tools. Language of computer crime investigation. The role of computers in crime, technology and law, jurisdiction, pornography and obscenity, child pornography, privacy, copyrights and the “theft” of digital intellectual property. The investigative process and investigative reconstruction, with digital evidence. Examine techniques and tools used by computer forensics investigations such as acquisition, preservation, recovery, and analysis of evidence obtained from portable and stationary computer storage devices, personal digital assistants (PDAs), and cell phones. Current technologies and methods as well as leading edge techniques with practical based exercises/projects and research opportunities. Lab work: Practical exercises on how to make use of various techniques and tools for computer forensics investigations and cyber trail during cybercrime investigations. Practice cyber auditing skills. Work on applying the best practices in securing, processing, acquiring, examining and reporting on digital evidence with current technologies and methods in forensics investigation.