Curricula Master_Biostatistics

Code	Courses titles	Courses	PS	SPW	CTH	Credits	Content
Semester I
MAT7411	Analysis (Pr Todjihounde)	40	15	20	75	4	Measure and Integration Theory; and Complex Function Theory; Introductory Calculus
PDE7411	Partial Differential Equation (Assoc. Prof. Marcos)	40	15	20	75	4	Examples of PDE Conservation Law, Integral Solutions, Equations of waves and heat in dimension 1 EDP applications in biology
PRO7411	Probability (Assoc. Prof. Ogouyandjou)	40	30	30	100	4	Uncertainty and randomness; random variables; Common probability distributions; conditional probability to approach.
UNI7411	Univariate statistical analysis (Dr Gbemavo)	20	0	30	50	2	Tests for proportions; tests for means; Normality tests; Tests for equal variances
SCS7411	Statistical Computing and Simulation (Pr Glèlè Kakaï/Dr Hounmenou)	40	30	30	100	4	Learning programming in R, Matlab and Python
QGE7411	Quantitative genetics (Pr Senou)	40	30	30	100	4	Quantitative traits and model of description; Heritability of quantitative traits and computational resources for genetic parameter evaluation; Selection theory; Breeding value evaluation; Practical sessions in R.
GEO7411	Geostatistics (Dr Vihotogbe)	40	30	30	100	4	Geostatistics: Basic Statistics, Geostatistics: Two variables, Spatial Analysis, Geostatistics: Spatial Analysis, Kriging, Practical sessions in R.
IMV7411	Introduction to multivariate statistical methods (Pr Glèlè Kakaï / M. Tovissode)	40	30	30	100	4	Methodology for choosing a multivariate method, PCA, CA and Cluster analysis; Practical sessions in R.
Total Credits for Semester I						30
Semester II
SSE7412	Scientific seminars (Dr Donou)	40	30	30	100	4	Presentations by professionals, researchers and students in the field of biostatistics and related sciences
DIR7412	Database and Informatics Resources (Assoc. Prof. Kpenavoun)	40	30	30	100	4	Understand the principles and concepts of database systems in general and relations systems in particular; create and manage Database. Practical session in Access.
BAY7412	Introduction to Bayesian Statistics (M. Bonou)	40	30	30	100	4	Basic one-parameter model (estimation of proportions, means); multiparameter models (Mean of a normal with unknown variance). Practical sessions in R.
SAN7412	Survival analysis (Pr. Gneyou from TOGO)	40	30	30	100	4	Non parametric techniques (Kaplan-Meier and NelsonAalen estimators), parametric techniques (maximum likelihood estimator); regression methods (Cox regression, Weibull method, etc.). Practical sessions in R.
LIM7412	Linear Models (Pr Glèlè Kakaï/ M. Tovissode)	40	30	30	100	4	Simple and multiple regression techniques, BoxCox transformations of Y and/or X. Practical sessions in R.
SME7412	Statistical Methods in Economy (Assoc. Prof. Sodjinou)	40	30	30	100	4	Linear or linearizable regression-based methods, Limited dependent variable models, techniques of Impact assessment. Practical sessions in R.
IAI7412	Introduction to Artificial Intelligence (Dr Houndji)	50	40	60	150	6	Main basic techniques of artificial intelligence including machine learning for problem solving. Practical sessions in Python.
Total Credits for Semester II						30
Semester III
DOE7413	Design Of Experiments (Dr Salako)	40	30	100	10	4	Definitions and concepts; 2k-Factorial designs; Response surface designs; Mixture designs; Augmented designs.
PNM7413	Population Niche modeling (Assoc. Prof. Fandohan)	40	30	30	100	4	Introduction and Theory, Developing a species’ distribution model, Current Advances and perspectives. Practical sessions in R.
LGM7413	Linear and Generalized Linear Mixed Models (Pr Glèlè Kakaï/Dr Lokonon)	40	30	30	100	4	General framework of generalized linear mixed models, estimation of parameters in Gaussian models, estimation in nonGaussian models, Significance test of coefficients, random intercept and/or slope models, link functions, Logit models, Poisson models. Practical sessions in R.
PMM7413	Population dynamics models (Assoc. Prof. Gaoue from USA)	40	30	30	100	4	Concept of population dynamics and different modeling approaches, develop research protocol to collect demographic data, build a life cycle diagram and parameterize matrix and integral projection models; Gain theoretical and practical experience in developing deterministic and stochastic models. Practical sessions in R.
MSM7413	Multivariate Statistical Methods (Dr Tovissode)	40	30	30	100	4	Multi-block data analysis, Discriminant analysis, CCA, MANOVA, DCA, Decision tree analysis. Practical sessions in R.
SME7413	Statistical Methods in Epidemiology (Dr Agbla from UK)	40	30	30	100	4	Design and key concepts in Epidemiology, Regression methods for case-control studies, Regression methods for cohort studies and survival analysis, Introduction to causal inference. Practical sessions in R.
DME7413	Dynamic systems modeling in epidemiology (Assoc. Prof. Ngonghala from USA)	40	30	30	100	4	Basic concepts of infectious diseases; Compartmental models; Reproduction number; control measures; effective reproduction number; Multiple host models. Practical sessions in Matlab.
SCW7413	Scientific writing (Pr Assogbadjo)	20	20	30	50	2	Types of manuscripts; Literature review; Title; Abstracts; Introduction; Methodology; Results; Discussion; Conclusion; References.
Total Credits for Semester III						30
Semester IV
MEM7414	Internship and Master's thesis	0	0	750	750	30
Total Credits for Semester IV						30
PS: Practical session;	SPW: Student Personal Work;	CTH: Course Total Hours