ENG1014- Coding for Climate Change Assignment

Assignment Overview

Instructions

Download the assignment template file ENG1014_Assig_S2_2025.ipynb from the Student Drive and modify the code within the template file. Stick to the template. Check your solutions by running ENG1014_Assig_S2_2025.ipynb and ensuring all question outputs are generated and all questions are answered as required. The variables must remain in the console at the end of the script, i.e. all output variables must be unique so that your demonstrator can examine them. 

This assignment assesses your ability to apply concepts taught in ENG1014. Coding is in many ways a creative pursuit, but to ensure that you can justify and explain your code and how it works, we encourage you to use functions and methods that you have learned in this unit. Therefore, you must ONLY use modules from the Python standard library, along with numpy and matplotlib (which are already available in the eng1014.yaml environment), and the eng1014.py module. NOTE: Although Pandas is installed with the ENG1014 environment, it should NOT be used.

If you are unsure whether you can use something, please ask us on the EdStem Assignment Forum!

Submitting your assignment

Submit your assignment online using Moodle. Read the “Lab and assignment upload instructions.pdf” to prepare your ZIP file for submission. Your ZIP file (not .rar or any other format) must include the following attachments: 

1. Your ipynb file containing all assignment tasks
2. ALL additional files required by your .py file (including a copy of the data files, the ENG1014 module and any other supplementary files you have written)

Your assignment will be marked in an in-person interview during your usual lab session during Week 12. You must attend and be present for the assessment to be marked. You may receive a score of 0 if you do not attend an interview. Your zip file will be downloaded from Moodle and only these files will be marked. Your demonstrator will extract (unzip) your submitted ZIP file and mark you based on the output of ENG1014_Assig_S2_2025.ipynb. 

It is your responsibility to ensure that everything needed to run your code is in your ZIP file.

Hints

1. You may use any scripts that you have written in the labs and workshops.
2. The tasks have been split into sub-questions. It is important to understand how each sub-question contributes to the whole, but each sub-question is a stand-alone task that is part of the problem. 
3. It is recommended that you break down each sub-question into smaller parts too and figure out what needs to be done step-by-step. Then you put things together to complete the whole task or question. 
4. Think about the question and plan your approach or algorithm by hand before attempting to code the solution.

Assignment Help

1. There is a dedicated “Assignment” channel in the forums. This will be used to clarify any uncertainties, for the benefit of the entire class. If you ask questions to us via email, we may ask you to submit a question to the discussion board, so that the entire class can see the answer we give. 
2. You may also discuss the assignment with your lab demonstrators, however be aware that they will only answer general questions related to theory (e.g. “How can I determine if my step size is small enough when I’m solving an ODE?”) and not specific questions (e.g. “I’m stuck on question 3, how can I approach this?”).

Assessment Requirements Summary

The ENG1014 “Coding for Climate Change” assignment focuses on applying coding skills in Python to solve climate-related problems while adhering strictly to the provided template.The key requirements include:

• Use of Template: Modify and work within the downloaded file without altering the predefined structure.

• Output Variables:  Ensure all outputs are generated, unique, and visible in the console for demonstrator review.

• Modules: Use only Python standard library modules, along with and. Pandas are not allowed.

• Stepwise Submission: Break down tasks into sub-questions and solve them sequentially, ensuring each task can function independently.

• Submission Format: Submit a ZIP file containing:

  1. The file with all tasks completed.

  2. Any supplementary files or data files needed to run the notebook.

• Assessment Marking: An in-person interview will be conducted during lab sessions for verification; attendance is mandatory.

• Planning & Problem Solving: Plan solutions on paper before coding, break tasks into manageable steps, and check outputs for correctness.

• Support Channels: Clarifications are provided via EdStem forums, lab demonstrators, and assignment help channels, with a focus on theory rather than direct solutions.

Step-by-Step Academic Mentor Approach

The Academic Mentor guided the student in a structured manner to ensure understanding, correct application of coding principles, and alignment with the assessment requirements. The approach included the following steps:

1. Understanding the Assignment and Template

• The mentor emphasized reading the instructions carefully, understanding the scope, and recognizing prohibited modules (e.g., Pandas).

• The student was encouraged to explore the template to understand placeholders, predefined variables, and expected outputs.

2. Planning Each Sub-Question

• Each task was broken down into smaller logical steps:

  • Identify the input data or variables needed.

  • Determine the algorithm or method required (e.g., calculations, plotting).

  • Plan how intermediate variables would be handled and named uniquely.

• This ensured clarity and prevented errors when executing the notebook.

3. Coding and Using Functions

• The mentor reinforced modular coding by encouraging the student to define functions for repeated tasks.

• Guidance included using numpy for computations and matplotlib for visualizations, following unit concepts learned in ENG1014.

• The student was coached on debugging step-by-step using console outputs to validate results.

4. Verification of Outputs

• After coding, the student ran the notebook multiple times to check for:

  • Correctness of each answer.

  • Proper display of outputs.

  • Unique variable names to avoid overwriting.

• The mentor explained the importance of matching the expected output as this directly affects assessment marks.

5. Preparing the Submission

• The student was instructed to compile all files required for execution into a single ZIP file, following Moodle submission instructions.

• The mentor reviewed the ZIP contents to ensure that:

  • All dependencies were included.

  • Notebook outputs were reproducible.

  • The structure adhered to assignment requirements.

Outcome and Learning Objectives Covered

By following this structured approach:

• Outcome Achieved:

  • The student successfully completed all sub-questions within the template.

  • Outputs were verified and displayed correctly in the console.

  • The submission ZIP file was complete and ready for in-person assessment.

• Learning Objectives Covered:

  1. Application of Python programming concepts to solve climate-related problems.

  2. Use of functions, numpy, and matplotlib effectively.

  3. Adherence to coding standards and structured problem-solving.

  4. Debugging and verifying outputs systematically.

  5. Preparing a professional, complete submission following academic guidelines.

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