Variables Books
Author: SO Akinola
School: University of Ibadan
Department: Science and Technology
Course Code: CSC235
Topics: Object Oriented Programming, Object Oriented Programming Paradigm, Objects, Programming, Data Abstraction, Encapsulation, class, Polymorphism, Java Programming, Java Platform, Java language, Java Variables, Java Objects, Java Operators, Java Control Structures, Java, Java Arrays, java Vectors, Java Strings Manipulations, Java Methods, Programming Inheritance, File Handling, Database Handling, Java Database Connectivity Application Programming Interface
Introduction to Web Programming
Author: Yetunde Folajimi
School: University of Ibadan
Department: Science and Technology
Course Code: CSC293
Topics: Web Programming, Programming, World Wide Web, Web Browsers, Web Usability, Web Editors, Uniform Resource Identifiers, Hypertext Transfer Protocol, Client Side Scripting, Client-side Environment, Server side Scripting, Server-side Environment, Web Application, web service, HTML, XHTML, Cascading Style Sheet, JavaScript, variables, operators, Concurrency Programming, PHP, Multithreading, Website Maintenance
Author: GN Amahia
School: University of Ibadan
Department: Science and Technology
Course Code: STA211
Topics: Probability, Permutations, Combinations, probability laws, conditional Probability, independence rule, Bayes rule, random variables, Chebyshev's inequality, Bernoulli distribution, Binomial Probability distribution, Negative binomial distribution, geometric distribution, Poisson distribution, hypergeometric distribution, uniform distribution, rectangular distribution, normal distribution, Joint marginal distribution, conditional distribution, Gamma distribution, Chi-square distribution
Elementary Statistical Quality Control ,2nd Edition
Author: John Burr
School: University of Ibadan
Department: Science and Technology
Course Code: STA341
Topics: Statistical Quality Control, Quality Control, Simple Probability, Probability Distributions, control charts, process control, process capability, Acceptance Sampling, sampling, Sampling by Variables, Linear Correlation, Regression, Reliability
A first course in statistics ,12th edition
Author: James McClave, Terry Sincich
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: statistics, statistical thinking, probability, random variables, probability distributions, inference, population, population means, simple linear regression, probabilistic models
An introduction to generalized linear models ,4th edition
Author: Annette Dobson, Adrian Barnett
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: generalized linear models, Model Fitting, Exponential Family, estimation, inference, normal linear models, Binary Variables, Logistic Regression, Nominal Logistic Regression, Ordinal Logistic Regression, Poisson Regression, Log-Linear Models, Survival Analysis, Clustered data, Longitudinal Data, Bayesian Analysis, Markov Chain Monte Carlo Methods
Introduction to Algorithms, 3rd Edition
Author: Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein
School: University of Ibadan
Department: Science and Technology
Course Code: CSC242
Topics: Algorithms, Insertion sort, analyzing Algorithms, designing Algorithms, growth of functions, asymptotic notation, maximum-subarray problem, Strassen’s algorithm, Probabilistic Analysis, Randomized Algorithms, hiring problem, Indicator random variables, Heapsort, heaps, heapsort algorithm, Priority queues, quicksort, Radix sort, Counting sort, Bucket sort, Data Structures, Hash Tables, has function, open addressing, Perfect hashing, Data Structures, sorting order statistics, Binary Search Trees, Red-Black Trees, Augmenting Data Structures, Dynamic Programming, Greedy Algorithms, Amortized Analysis, B-Trees, Fibonacci Heaps, van Emde Boas Trees, Graph Algorithms, Minimum Spanning Trees, Single-Source Shortest Paths, All-Pairs Shortest Path, maximum flow, Multithreaded Algorithms, Matrix Operations, linear programming, polynomials, Number-Theoretic Algorithms, String Matching, Computational Geometry, NP-Completeness, Polynomial time, Approximation Algorithms
Introduction to the mathematics of population
Author: Nathan Keyfitz
School: University of Ibadan
Department: Science and Technology
Course Code: STA342
Topics: population, stationary population model, recurrence equations, population projection, projection matrix, life tables, continous analysis, renewal equation, laplace transform, demographic variables, population time series, interpolation, graduation, finite approximation, population explosion, marriage model, probability models, life table functions, fertility functions, birth process, death process, sex ratio, population distribution, individual behavior, branching theory, population model, mathematical demography, future population, life table
Operations Research ,10th edition
Author: Hamdy Taha
School: University of Ibadan
Department: Science and Technology
Course Code: STA343
Topics: Operations Research, Operations Research models, linear programming, two-variable linear programming model, modelling, simplex method, sensitivity analysis, artificial starting solution, duality, post-optimal analysis, primal-dual relationships, simplex algorithms, transportation model, assignment mode, network mode, shortest-route problem, Minimal spanning tree algorithm, maximal flow model, critical path model, revised simplex method, revised algorithm, bounded-variables algorithm, parametric linear programming, goal programming, goal programming formulation, goal programming algorithm, integer linear programming, Heuristic programming, greedy heuristic, local search heuristic, metaheuristic, constriant programming, traveling salesperson problem, deterministic dynamic programming, dynamic programming, inventory modelling, probability, probability distribution, decision analysis, games, game theory, probabilistic inventory models, Markov chains, queuing systems, simulation modeling, classical optimization theory, Nonlinear programming algorithms
Author: Mark Woodward
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Epidemiology, Assessing risk factors, risk, relative risk, analytical procedures, Confounding, interaction, Cohort studies, Case–control studies, Intervention studies, Sample size determination, Modelling quantitative outcome variables, Modelling binary outcome data, modelling, Modelling follow-up data, Meta-analysis, risk scores, clinical decision rules, Computer-intensive methods
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