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    • 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
    • BACHELOR OF SCIENCE IN ANALYTICAL CHEMISTRY
      • SEM 1 2026/2027 AY : SCH 301: Theory of Spectroscopy
      • SEM 1 2026/2027 AY : SCE 304: Chemical toxicology
      • SEM 1 2026/2027 AY : SCA 303: Separation Techniques and Chromatography
      • SEM 2 2025/2026 AY SCE 201: Introduction to Environmental Chemistry
      • SEM 2 2025/2026 AY SCI 203: Elements of Physics II
      • SEM 1 2025/2026AY : SCA 404: Nano Chemistry
    • MASTER OF SCIENCE IN ENTOMOLOGY
      • THESIS
      • Arthropod Behaviour and Ecology
      • Beneficial Insects
      • Biostatistical Methods
      • Comparative Arthropod Physiology
      • Entomological Techniques
    • 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
    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
    BACHELOR OF SCIENCE IN ANALYTICAL CHEMISTRY
    • SEM 1 2026/2027 AY : SCH 301: Theory of Spectroscopy
    • SEM 1 2026/2027 AY : SCE 304: Chemical toxicology
    • SEM 1 2026/2027 AY : SCA 303: Separation Techniques and Chromatography
    • SEM 2 2025/2026 AY SCE 201: Introduction to Environmental Chemistry
    • SEM 2 2025/2026 AY SCI 203: Elements of Physics II
    • SEM 1 2025/2026AY : SCA 404: Nano Chemistry
    MASTER OF SCIENCE IN ENTOMOLOGY
    • THESIS
    • Arthropod Behaviour and Ecology
    • Beneficial Insects
    • Biostatistical Methods
    • Comparative Arthropod Physiology
    • Entomological Techniques
    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

      QUANTITATIVE RESEARCH DESIGNS AND METHODS

      SEM 3 2023/2024 AY

      • Teacher: Dr. Steve Wakhu

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