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    • BACHELOR OF SCIENCE IN WATER RESOURCE MANAGEMENT
      • CLIMATOLOGY SEM 1 2026/2027
      • INTRODUCTION TO WATER RESOURCES MANAGEMENT SEM 1 2026/2027
      • WATER, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT SEM 1 20242025
      • EARLY WARNING SYSTEMS IN WATER RESOURCE MANAGEMENT SEM 1 20242025
      • WATERSHED MANAGEMENT SEM 1 20242025
      • DESIGN AND ANALYSIS OF EXPERIMENTS SEM 1 20242025
    • BACHELOR OF LAWS
      • ENVIRONMENTAL LAW LPR 304 SEM I 26-27
      • LABOUR LAW LPR 401 SEM I 26-27
      • PUBLIC INTERNATIONAL LAW LPR 301 SEM I 26-27
      • EVIDENCE LAW I LPR 204 SEM I 26-27
      • CIVIL PROCEDURE I LPR 203 SEM I 26-27
      • CRIMINAL PROCEDURE LPR 205 SEM I 26-27
    • MASTER OF SCIENCE IN COMPUTER SCIENCE
      • Modeling and Simulation
      • Machine-Learning
      • Multi-agents Systems
      • Information Systems Strategic Management
      • Business Process Re-engineering
      • Distributed and Parallel Computing
    • MASTER OF SCIENCE IN STATISTICS
      • Computational Matrix Analysis
      • Theory of Estimation
      • Linear Statistical Models I
      • Probability Theory I
      • Survival Models
      • Bayesian Analysis
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  • Courses
    BACHELOR OF SCIENCE IN WATER RESOURCE MANAGEMENT
    • CLIMATOLOGY SEM 1 2026/2027
    • INTRODUCTION TO WATER RESOURCES MANAGEMENT SEM 1 2026/2027
    • WATER, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT SEM 1 20242025
    • EARLY WARNING SYSTEMS IN WATER RESOURCE MANAGEMENT SEM 1 20242025
    • WATERSHED MANAGEMENT SEM 1 20242025
    • DESIGN AND ANALYSIS OF EXPERIMENTS SEM 1 20242025
    BACHELOR OF LAWS
    • ENVIRONMENTAL LAW LPR 304 SEM I 26-27
    • LABOUR LAW LPR 401 SEM I 26-27
    • PUBLIC INTERNATIONAL LAW LPR 301 SEM I 26-27
    • EVIDENCE LAW I LPR 204 SEM I 26-27
    • CIVIL PROCEDURE I LPR 203 SEM I 26-27
    • CRIMINAL PROCEDURE LPR 205 SEM I 26-27
    MASTER OF SCIENCE IN COMPUTER SCIENCE
    • Modeling and Simulation
    • Machine-Learning
    • Multi-agents Systems
    • Information Systems Strategic Management
    • Business Process Re-engineering
    • Distributed and Parallel Computing
    MASTER OF SCIENCE IN STATISTICS
    • Computational Matrix Analysis
    • Theory of Estimation
    • Linear Statistical Models I
    • Probability Theory I
    • Survival Models
    • Bayesian Analysis
  • ODeL

      • Course info

      PRINCIPLES OF ANIMAL NUTRITION SEM 2 20212022

      • Teacher: Salome Atieno Migose

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