Our Faculties

MASTER OF SCIENCE TROPICAL ENTOMOLOGY (MTE)

MASTER OF SCIENCE TROPICAL ENTOMOLOGY (MTE)

Module Code	Module Name	Description
MTE501	Biostatistics, Experimental Design and Modelling	What is research: Why do research, The scientific method, Ethics in science. The research process: Problem definition and selection, Problem analysis, Study plan. The research proposal: Guidelines for writing a proposal, Planning the research, Site selection, Sampling units, Replication. Data collection: Primary and secondary data, Sources of data. Statistical and data management software: Overview of software, Choice of appropriate package, Data entry and data management. Sampling: Random number tables, Simple random sampling, Stratified random sampling, Systematic sampling, Quadrat sampling. Surveys: Planning a survey, Types of surveys, Phases of a survey, How to sample, Questionnaire design, Implementing a survey, Data management, Tabulation and further data analysis, Reporting. Modelling: Multiple linear regression, Model checking and dealing with deviations from model assumptions, General linear models, Model checking and dealing with deviations from model assumptions, comparison of means, Introduction to REML, Introduction to generalised linear models. Simple time series models: Time series plots, Components of a time series, Smoothing. Analysis of distribution of free data (non-parametrics): Ranked data, Scores, Alternative methods of data analysis. Multivariate methods: Cluster methods, Principle component analysis, Discriminant analysis, Factor analysis. Presentation of research: Logging of data entry, Validation and analysis, Data presentation, Graphs and diagrams, Report writing.
MTE502	Insect Functional Morphology and Systematics	Form and structure of the insect head and its appendages; Modifications of mouthparts, neck and thorax; Leg adaptations and articulations; Origin and development of wings (wing modifications and articulations); Appendages and processes of the abdomen (stridulation, musculature, spiracles, trachea); Modifications of the respiratory system; Modifications of the alimentary, reproductive and nervous systems; Embryonic and post-embryonic development; Taxonomy and nomenclature; International Code of Zoological Nomenclature; Species concept and speciation; Evolution; Collection and curatorial techniques; Organization of insect genomes; Genetic manipulation of insect populations; Insect identification using cytology and genetics.
MTE503	Insect Physiology and Biochemistry	Gross structure and functions of the insect integument parts; Ecdysis and sclerotinization; Physiology of insect locomotion; Energetics of flight and flight metabolism; Physiology of insect respiration; Generalised anatomy of the insect digestive system; Extra-intestinal digestion (carbohydrates, proteins, lipids); Enzyme activity and effects of pH and temperature; Absorption (carbohydrates, proteins, lipids, water, inorganic ions); Nutrition and intermediary metabolism; Water balance and osmoregulation; Excretion; Circulatory system; Nervous and neuroendocrine systems; Hormone analogues as insecticides; Physiology of aging, diapause and hibernation; Chemical defence mechanisms; Thermoregulation; Biochemical basis of insecticide resistance.
MTE504	Insect Ecology and Behaviour	Population ecology (measurement and factors regulating insect populations); Predator-prey and host-parasitoid relationships; Competitive interactions and consequences; Pest migrations; Mortality and survivorship; Construction and analysis of life tables and their use in applied entomology; Mating and feeding behaviour, response to host stimuli; Communication and activity patterns in insect populations; Behaviour and ecology of insect natural enemies; Functional and numerical responses; Ecology and behaviour of insects as foundations for effective pest management.
MTE505	Medical and Veterinary Entomology	Pests of medical and veterinary importance (including epidemiology, diagnostic, parasitology and immunology). Biology and ecology of mosquito vectors of malaria, tsetse and fleas. Epidemiology of plague; Houseflies, blowflies and myiasis; Ticks as vectors of animal diseases; Integrated vector control; Vector insecticide resistance; Screening of insecticides and acaricides; Insect defence mechanisms against parasites; Genetics of vectorial capacity; Analysis of insect age structure with reference to mosquitoes; Insectary design, construction and controls.
MTE506	Agricultural Entomology	Biology, ecology, economic importance and control of general pests (locusts, African armyworm, cotton bollworm); Scouting and/or sampling protocols for specific pests; Biology, ecology and management of specific insect and mite pests of particular crops; Case histories of invasive alien insect pests and their management.
MTE507	Stored Product Entomology	Stored grain ecosystem; Primary and secondary pests of stored grain; sources of primary infestation of grain; Sampling and assessment of stored grain weight losses; postharvest loss assessments in general; Biology and ecology of selected pests; Control of some primary and secondary insect pests of stored grain and pulses; General biology and ecology of rodents; control of rodents.
MTE508	Forest Entomology	Forests and their dynamics; Forest insects and human interactions: invasive species, beneficial forest insects and their products; Diversity of forest insects: defoliators, sap-feeders, wood borers of living trees, pests of reproductive structures, gall-formers, terminal and root insects, pests of logs, lumber and forest products; Termites: termites attacking living trees, subterranean termites, dry wood termites, beneficial role of termites; Forest insect dynamics; Forest insect pest management: sampling in a forest ecosystem, monitoring and assessment of damage and outbreaks; decision-making, breeding for resistance, biological control, biotic insecticides, chemical control, use of semiochemicals; Forest insects as food.
MTE570	Research Methods	This course will cover the scientific method, Ethics in science. The research process: Problem definition and selection, Problem analysis, Study plan. The research proposal: Guidelines for writing a proposal, Planning the research, Site selection, Sampling units, Replication. Data collection: Primary and secondary data, Sources of data. Statistical and data management software: Overview of software, Choice of appropriate package, Data entry and data management. Sampling: Random number tables, Simple random sampling, Stratified random sampling, Systematic sampling, Quadrat sampling. Surveys: Planning a survey, Types of surveys, Phases of a survey, How to sample,Questionnaire design, Implementing a survey, Data management, Tabulation and further data analysis, Reporting. Modelling: Multiple linear regression, Model checking and dealing with deviations from model assumptions, General linear models, Model checking and dealing with deviations from model assumptions, comparison of means, Introduction to REML, Introduction to generalised linear models. Simple time series models: Time series plots, Components of a time series, Smoothing. Analysis of distribution of free data (non-parametrics): Ranked data, Scores, Alternative methods of data analysis. Multivariate methods: Cluster methods, Principle component analysis, Discriminant analysis, Factor analysis. Presentation of research: Logging of data entry, Validation and analysis, Data presentation, Graphs and diagrams, Report writing.

MASTER OF SCIENCE FORENSIC SCIENCE (MFS)

MASTER OF SCIENCE FORENSIC SCIENCE (MFS)

Module Code	Module Name	Description
MFS502	Forensic Chemistry	Course addresses criminal activity associated with chemistry. This includes drug analysis, toxicology, arson investigation, paints/plastics and firearms. Detection of fibre evidence and glass samples. Use of standard equipment and techniques: FTIR, AA, AAS spectroscopy, chromatography (TLC, HPLC, GC etc) in chemical detection and identification.
MFS509	Courtroom Skills	This course covers the skills sets a forensic practitioner needs in the national and international criminal cases. This includes articulating how the evidence was collected, processed and defending the expert witnesses conclusions during cross examination. Understanding court room rules and requisite code of conduct.
MFS503	Forensic Biology	This course covers application of Biological Sciences at a crime scene: including how to collect and interpret results from processed plant, animal and microbial material at a crime scene. How to use traditional methods to positively link Biological specimen to suspect. Use of modern molecular methods for identification and determination of place of origin of specimen. How to collect novice species for future reference. Analysis of material used to kill or harm different forms of life e.g. poisons, projectiles and firearms. Identify products made from protected wildlife.
MFS504	Forensic Molecular Biology, Immunology, Serology and Microbiology	The course covers molecular based techniques used in identification and study of human, plant, wildlife and microbial material in a criminal investigation. Covers the protocols for collecting samples from a crime scene and techniques for analysis. Concepts covered include DNA finger printing, metagenomics, bioinformatics, cloning, PCR, forensic, DNA barcoding, and CODIS. The immunological component of this course covers the use of antibodies to detect, identify and study antigens sourced from different material in a criminal investigation. Antigens range from pathogenic bacteria, viruses, blood typing, toxins, to pregnancy tests used in legal issues.Serology uses immunological and biochemical techniques to study or detect the presence of tissue sample (blood, semen, saliva and body fluid) in criminal investigation.
MFS505	Forensic Physics	The course introduces a number of application areas of Physics that are of key importance to forensic analysis; among these are ballistics of bullets and other projectiles, the collisions of vehicles, the physics of explosions, and bloodstain patterns. Understanding anatomy of firearms, cartridge case and bullet comparison, shot pattern, gunpowder residues, searching firearm database. Projectile velocity determination, influence of gravity on trajectory, Le Du’s formula and Plobert’s law. Investigation of injuries caused by firearms or projectiles explosions. The course also introduces forensic investigations methods such as bloodstain pattern analysis, accident reconstruction, and tracing radioactive materials (e.g., the sources of nuclear weapons).
MFS508	Forensic Psychology, Psychiatry and Criminal Behaviour	Determining if criminal activity was organised, spontaneous, disorganised or planned. The psychological profile of serial rapist/killers, arsonist etc. Psychological competence of a suspect and criminal profiling. Use of polygraph and voice stress analyser, detection of deception current research on detection of deception and truth fining
MFS510	Forensic Anthropology: Osteology and Identification	Covers methods of searching, identifying documentation of archaeological site and recovery of remains at burial sites. Evaluate human skeleton at a crime scene to determine age, sex and stature of victim. The science of carbon dating. Mastering techniques used in facial reconstruction, facial super imposition and use of Portrait Parle/Bertillionsytem. Somatormetry measurement various skeletal material (e.g. head, face, nose, cheek, ear, hand). Use of standard indices such as cephalic, cranial, and nasal indices.
MFS506	Computer Forensics and Cyber Security	Articulate the various types of computer crimes. How to identify computer(s) involved in criminal activity. Processing of seized magnetic media. Investigation of hate speech and computer terrorism, Trojan horse, pornography, logic bombs, computer stalking and computer viruses/worms.Investigation of Software piracy, counterfeit money authentication of video and images. Deals with recovering digital data from computers and smartphones. The data includes photo, video and audio devices, GPS location. Be proficient in the use of various equipment and software used in extracting data from computers and smart phones
MFS507	Forensic Statistics	The course introduces Statistics for Forensic Science, gently guiding the student through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the course uses real-life examples from the forensic science literature and forensic case-work to illustrate relevant statistical concepts and methods. Starting with a brief overview of the history and use of statistics within forensic science, the course then goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis on the evaluation of scientific observation as evidence and modern Bayesian approaches to interpreting forensic data for the courts. The analysis of key forms of evidence are discussed throughout with a particular focus on DNA, fibres and glass. An invaluable introduction to the statistical interpretation of forensic evidence; this course will be invaluable for all specializations in forensic science.
MFS570	Research Project/Dissertation	This course will cover the scientific method, Ethics in science. The research process: Problem definition and selection, Problem analysis, Study plan. The research proposal: Guidelines for writing a proposal, Planning the research, Site selection, Sampling units, Replication. Data collection: Primary and secondary data, Sources of data. Statistical and data management software: Overview of software, Choice of appropriate package, Data entry and data management. Sampling: Random number tables, Simple random sampling, Stratified random sampling, Systematic sampling, Quadrat sampling. Surveys: Planning a survey, Types of surveys, Phases of a survey, How to sample,Questionnaire design, Implementing a survey, Data management, Tabulation and further data analysis, Reporting. Modelling: Multiple linear regression, Model checking and dealing with deviations from model assumptions, General linear models, Model checking and dealing with deviations from model assumptions, comparison of means, Introduction to REML, Introduction to generalised linear models. Simple time series models: Time series plots, Components of a time series, Smoothing. Analysis of distribution of free data (non-parametrics): Ranked data, Scores, Alternative methods of data analysis. Multivariate methods: Cluster methods, Principle component analysis, Discriminant analysis, Factor analysis. Presentation of research: Logging of data entry, Validation and analysis, Data presentation, Graphs and diagrams, Report writing.

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