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EHS407

Research Methodology And Proposal Writing

This course introduces students to the fundamental principles and methodologies employed in conducting research, with a specific focus on environmental science. It covers key aspects of research methodology, including data collection, sampling techniques, data processing, and analysis. Students will learn how to formulate research questions, develop hypotheses, and design experiments. The course also emphasizes the importance of effective research communication through proposal and technical report writing.

About this course

Difficulty
Intermediate
Study hours
120 hours
Maths
Intermediate
Content
Theoretical, practical, case study, problem solving, research
Practical work
Yes
Before you start
  • Basic Statistics
  • Introduction to Environmental Science
How it is assessed
  • Assignments
  • Tutor Marked Assessments
  • Final Examination

One paragraph, so you can see how it reads

EHS407 · UNIT 1: RESEARCH METHODOLOGY AND RESEARCH METHODS

There are activities related to the lecture in each unit which will help your progress and comprehension of the unit. You are required to work on these exercises which together with the TMAs will enable you to achieve the objectives of each unit.

What you should be able to do

  1. Define basic concepts used in research and proposal writing.
  2. Describe data, sampling methods, and their importance in research.
  3. Identify methods of collecting data in lab and field studies.
  4. Process data and present them in a format suitable for analysis.
  5. Apply common methods of descriptive data analysis.
  6. Develop a well-structured hypothesis.
  7. Utilize computer-based statistical packages.
  8. Analyze data using standard techniques like ANOVA.
  9. Write a research proposal.
  10. Prepare technical reports of research studies.

What it prepares you for

Careers
  • Environmental Scientist
  • Research Analyst
  • Data Analyst
  • Environmental Consultant
  • Project Manager
Where it is applied
  • Environmental Consulting
  • Government Agencies
  • Research Institutions
  • Healthcare
  • Agriculture
Tools
  • SPSS
  • R
  • MATLAB
  • Microsoft Excel
  • SAS

Where it gets hard

The units students slow down on, and what makes each one heavy.

  • MODULE 2 – DATA AND ANALYSIS

    Unit 6: Analysis of Variance (ANOVA) and Research Designs

    ANOVA requires a solid understanding of statistical distributions and hypothesis testing, which can be challenging for students without a strong mathematical background.

  • MODULE 3: RESEARCH COMMUNICATION

    Unit 3: Technical report writing

    Synthesizing research findings into a clear, concise, and well-structured technical report requires strong writing and organizational skills.

A suggested way through it

Suggested

13 weeks, about 34 hours in total. Yours will differ.

  1. Week 1MODULE 1 - RESEARCH METHODOLOGY
    • Unit 1: Research Methodology and Research Methods · 2 hours

      Read the introduction to research methodology and research methods.. Understand the objectives of research and different types of research.. Differentiate between research methods and research methodology..

  2. Week 2MODULE 1 - RESEARCH METHODOLOGY
    • Unit 2: Research Data and Sampling Methods · 2 hours

      Identify and classify scientific data.. Enumerate the different methods of collecting scientific data.. Understand the importance of sampling and sample size determination..

  3. Week 3MODULE 1 - RESEARCH METHODOLOGY
    • Unit 3: Data and Data Collection Methods · 2 hours

      Explore primary and secondary data collection methods.. Differentiate between observation, interviews, and questionnaires.. Understand the types of interviews and questionnaires used in data collection..

  4. Week 4MODULE 2 – DATA AND ANALYSIS
    • Unit 4: Research Hypothesis · 2 hours

      Define hypothesis and understand its characteristics.. Differentiate between null and alternate hypotheses.. Learn the procedure for testing hypotheses..

  5. Week 5MODULE 2 – DATA AND ANALYSIS
    • Unit 5: Descriptive Data Analysis · 2 hours

      List common descriptive methods of data analysis.. Calculate measures of central tendency: mean, mode, and median.. Understand measures of dispersion: range, mean deviation, and standard deviation..

  6. Week 6MODULE 2 – DATA AND ANALYSIS
    • Unit 6: Analysis of Variance (ANOVA) and Research Designs · 2 hours

      Define ANOVA and understand its principles.. Learn about ANOVA techniques and experimental designs.. Understand mean separation and common statistical software..

  7. Week 7MODULE 3: RESEARCH COMMUNICATION
    • Unit 1: Proposal writing · 2 hours

      Understand the components of a research proposal: introduction, research question, objectives, justification, and scope.. Learn about materials and methods, expected results, and impact assessment.. Practice writing a simple research proposal..

  8. Week 8MODULE 3: RESEARCH COMMUNICATION
    • Unit 2: Data processing and Presentation · 2 hours

      Understand the data processing steps: editing, coding, and classification.. Learn how to present data using texts, tables, graphs, and statistical measures.. Explore different types of graphs and their appropriate uses..

  9. Week 9MODULE 3: RESEARCH COMMUNICATION
    • Unit 3: Technical report writing · 2 hours

      Define technical reports and understand their characteristics.. Learn the components of a technical report: preliminary pages, main body, and end matter.. Understand the steps involved in technical report writing and referencing methods..

  10. Week 10MODULE 1 - RESEARCH METHODOLOGY
    • Unit 1: Research methodology and research methods · 2 hours

      Review Module 1: Research Methodology. Revise key concepts and definitions.. Practice applying research methods to environmental science scenarios..

    • Unit 2: Research Data and Sampling methods · 2 hours

      Review Module 1: Research Methodology. Revise key concepts and definitions.. Practice applying research methods to environmental science scenarios..

  11. Week 11MODULE 2 – DATA AND ANALYSIS
    • Unit 4: Research hypothesis · 2 hours

      Review Module 2: Data and Analysis. Revise key statistical concepts and formulas.. Practice data analysis techniques using statistical software..

    • Unit 5: Descriptive data analysis · 2 hours

      Review Module 2: Data and Analysis. Revise key statistical concepts and formulas.. Practice data analysis techniques using statistical software..

  12. Week 12MODULE 3: RESEARCH COMMUNICATION
    • Unit 1: Proposal writing · 2 hours

      Review Module 3: Research Communication. Revise key components of research proposals and technical reports.. Practice writing research proposals and technical reports..

    • Unit 2: Data processing and Presentation · 2 hours

      Review Module 3: Research Communication. Revise key components of research proposals and technical reports.. Practice writing research proposals and technical reports..

  13. Week 13MODULE 3: RESEARCH COMMUNICATION
    • Unit 3: Technical report writing · 4 hours

      Comprehensive review of all course materials.. Focus on key concepts and challenging topics.. Prepare for final examinations..

Preparing for the exam

What to do
  • Review all unit objectives and key terms.
  • Practice solving problems related to data analysis and hypothesis testing.
  • Focus on understanding the principles of ANOVA and experimental designs.
  • Practice writing research proposals and technical reports.
  • Review past assignments and tutor-marked assessments.
  • Create concept maps linking research methods, data analysis techniques, and report writing.
  • Allocate specific time slots for focused study and revision.
  • Practice using statistical software to analyze sample datasets.
  • Review examples of well-written research proposals and technical reports.
  • Form study groups to discuss challenging concepts and share insights.

Questions students ask about this course

What is EHS407 about?

This course introduces students to the fundamental principles and methodologies employed in conducting research, with a specific focus on environmental science. It covers key aspects of research methodology, including data collection, sampling techniques, data processing, and analysis. Students will learn how to formulate research questions, develop hypotheses, and design experiments. The course also emphasizes the importance of effective research communication through proposal and technical report writing.

How many units does EHS407 have?

EHS407, Research Methodology And Proposal Writing, has 9 units across 3 modules, over 52 pages of course material. You can read it one unit at a time.

Is EHS407 hard?

EHS407 is rated intermediate level, with intermediate mathematical content. It is mostly theoretical, practical, case study, problem solving and research work, and it has a practical component.

How long does EHS407 take to study?

About 120 hours of study, spread across its 9 units.

How is EHS407 assessed?

EHS407 is assessed by Assignments, Tutor Marked Assessments and Final Examination.

What do I need before starting EHS407?

Basic Statistics Introduction to Environmental Science

What can I do with EHS407?

Environmental Scientist, Research Analyst, Data Analyst, Environmental Consultant and Project Manager.

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