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    • BACHELOR OF SCIENCE IN STATISTICS
      • Statistical Planning and Design of Experiments
      • STA 307 Macroeconomics Sem II 2025/2026 AY
      • STA 420: Project in Statistics
      • STA 408: Design and Analysis of Experiments II
      • Bayesian Inference and Decision Theory
      • Operations Research III
    • DIPLOMA IN BUSINESS MANAGEMENT WITH IT
      • RESEARCH PROJECT
      • BUSINESS INFORMATION SYSTEMS
      • BUSINESS FINANCE
      • BBA 065: Human Resource Management
      • PRINCIPLES OF AUDITING
      • PRINCIPLES OF ECONOMICS
    • BACHELOR OF ECONOMICS & STATISTICS
      • BES 402 Research Project Sem II 25/26AY
      • BES 205 Development Economics Sem II 25/26 AY
      • BES 403 Fundamentals of Econometrics II Sem II 25/26 AY
      • BES 201 Macroeconomic Theory II Sem II 25/26 AY
      • BES 101 Macroeconomic Theory I Sem II 25/26 AY
      • BES 414 Health Economics Sem II 25/26
    • MASTER OF SCIENCE IN STATISTICS
      • Computational Matrix Analysis
      • Theory of Estimation
      • Linear Statistical Models I
      • Probability Theory I
      • Survival Models
      • Bayesian Analysis
    • View all
  • Courses
    BACHELOR OF SCIENCE IN STATISTICS
    • Statistical Planning and Design of Experiments
    • STA 307 Macroeconomics Sem II 2025/2026 AY
    • STA 420: Project in Statistics
    • STA 408: Design and Analysis of Experiments II
    • Bayesian Inference and Decision Theory
    • Operations Research III
    DIPLOMA IN BUSINESS MANAGEMENT WITH IT
    • RESEARCH PROJECT
    • BUSINESS INFORMATION SYSTEMS
    • BUSINESS FINANCE
    • BBA 065: Human Resource Management
    • PRINCIPLES OF AUDITING
    • PRINCIPLES OF ECONOMICS
    BACHELOR OF ECONOMICS & STATISTICS
    • BES 402 Research Project Sem II 25/26AY
    • BES 205 Development Economics Sem II 25/26 AY
    • BES 403 Fundamentals of Econometrics II Sem II 25/26 AY
    • BES 201 Macroeconomic Theory II Sem II 25/26 AY
    • BES 101 Macroeconomic Theory I Sem II 25/26 AY
    • BES 414 Health Economics Sem II 25/26
    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

      WEED SCIENCE AND MANAGEMENT SEM 1 20222023

      • Teacher: Shem Kakai Khakame

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