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Steps in writing a UG/PG Dissertation Thesis || Research Publications || Dr. Akash Bhoi thumbnail

Steps in writing a UG/PG Dissertation Thesis || Research Publications || Dr. Akash Bhoi

5 min read

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TL;DR

Confirm whether a dissertation supervisor is assigned; if not, contact the department head to secure guidance.

Briefing

A master’s-level dissertation (and, by extension, many UG/PG thesis reports) hinges on turning a research topic into a structured, time-bound project—then writing it up in a predictable chapter format. The key difference between “thesis” and “dissertation” is tied to degree level: “thesis” is commonly associated with PhD work, while “dissertation” is typically used for master’s/postgraduate programs. That naming distinction matters because it signals expectations for scope and components, even when the writing structure overlaps.

The process starts with planning. Students are urged to confirm whether a dissertation supervisor has been appointed; if not, they should contact the department head to get one. Once a supervisor assigns a research topic or area, the next step is literature review—using university library resources and journal portals such as ScienceDirect, Wiley, IEEE Xplore, SpringerLink, and J-Gate—to understand the field and identify a research gap. The literature review isn’t treated as reading for its own sake; it’s meant to produce a focused, narrow specialization and ultimately a research objective, problem statement, and research gap that the project will address.

With objectives in hand, students should design the research strategy before collecting or generating results. That includes deciding whether the work is computational or experimental. For computational projects, the guidance emphasizes checking available primary databases (and whether they can be accessed) versus relying on secondary sources, then setting up the computational methodology. For experimental work, students must plan the experimental setup—hardware or software—along with testing facilities and availability. The transcript also stresses “design of experiment” thinking: whether the setup is built in simulation first or implemented directly, the goal is to ensure the project can produce results that map back to the stated objectives.

Throughout the research cycle, students should repeatedly check alignment: are the emerging results meeting the research objectives and addressing the literature gap? Once figures, tables, and supporting materials are ready, writing can begin.

The writing phase follows a standard dissertation structure. It starts with a cover page using the university template, then an acknowledgment section (kept within one page) naming the supervisor(s), department/institution head, committee/research committee, and optionally family/friends. Next comes the abstract (typically within two pages), which summarizes the research problem, objectives, methods, key results, and conclusions so readers can quickly judge whether to go deeper. The front matter also includes table of contents, lists of figures/tables, and a list of abbreviations.

Core chapters then follow: introduction (topic framing, narrowing to the problem, research question), literature review (gap and advances, plus the theoretical framework), methodology (qualitative or quantitative design, data collection—primary or secondary—and stepwise research design), results (with justified, high-quality tables/figures and proper citation for any reused material), discussion (comparison with prior literature and explanation of how findings improve or differ), and conclusion (reaffirming how objectives and research questions were met, noting limitations, and outlining future scope). The transcript closes by recommending adherence to the required citation style (APA/MLA/Chicago or university format) and ethical referencing before submission.

Cornell Notes

The transcript lays out a practical roadmap for writing a UG/PG dissertation: confirm a supervisor, pick a research topic, conduct a literature review to find a research gap, and translate that gap into clear objectives and a problem statement. It then emphasizes designing the research approach—computational or experimental—by planning data sources, methodology, and an experimental setup (including “design of experiment”). After results are generated and figures/tables are prepared, writing follows a conventional structure: cover page, acknowledgment, abstract, table of contents, lists of figures/tables, abbreviations, then introduction, literature review, methodology, results, discussion, and conclusion. The work should stay aligned to objectives and the gap, use proper citation, and follow the university’s formatting and reference style.

How do “thesis” and “dissertation” differ, and why does that distinction matter for students?

The transcript links the terms to degree level: “thesis” is associated with PhD work, while “dissertation” is used for master’s/postgraduate programs (and often for UG/PG reports as well). The practical takeaway is that naming usually signals expectations for scope and components, so students should match their structure and formatting to what their program expects rather than relying on the term alone.

What should a student produce from the literature review besides summaries of papers?

Literature review is treated as a pipeline: it should narrow the broad topic into a specialized area, identify a research gap, and lead to research objectives and a problem statement. Those outputs then guide the research design—what methodology to use, what data sources to rely on, and how the project will generate results that address the gap.

How should students decide between computational and experimental methodology?

The transcript frames the choice by the nature of the work. For computational projects, students must check available databases (primary vs secondary) and ensure access, then define the computational methodology. For experimental projects, students must plan the experimental setup (hardware or software), confirm testing facilities, and consider availability before running experiments.

What does “design of experiment” mean in this workflow?

It refers to planning the experimental/computational setup before execution. Students may design experiments in a simulation platform first and later implement them, but the core idea is to ensure the setup can produce results aligned with the research objectives and the literature gap.

What front-matter and early sections should appear before the main chapters?

The transcript lists: cover page (using the university template), acknowledgment (kept within one page), abstract (up to about two pages, summarizing problem/objectives/methods/results/conclusion), table of contents with page numbers, list of figures and tables, and list of abbreviations (often skipped but recommended).

How should results and discussion be handled to stay ethical and academically grounded?

Results should include statistical values and high-quality tables/figures, with justification for what supports the findings. Copy-pasting figures is discouraged; if reused, proper citation is required. In discussion, students should compare results against reviewed literature—ideally in tabulated form—and explain whether outcomes match prior work, improve on it, or differ, with cross-citations to maintain ethical boundaries.

Review Questions

  1. What specific outputs should a student aim to generate from the literature review before starting methodology?
  2. How does the transcript recommend aligning research execution (computational/experimental) with the stated research objectives and gap?
  3. Which dissertation sections are described as front matter versus core chapters, and what is the purpose of the abstract?

Key Points

  1. 1

    Confirm whether a dissertation supervisor is assigned; if not, contact the department head to secure guidance.

  2. 2

    Use literature review to narrow the topic, identify a research gap, and derive research objectives and a problem statement.

  3. 3

    Create a timeline (optionally in a Gantt-chart style) to track topic completion week-by-week or month-by-month.

  4. 4

    Choose computational versus experimental methodology based on the project’s needs, and plan data sources or experimental setup in advance.

  5. 5

    Design the experiment/setup so results can be checked against objectives and the literature gap throughout the work.

  6. 6

    Follow a standard dissertation structure: cover page, acknowledgment, abstract, table of contents, lists (figures/tables/abbreviations), then introduction, literature review, methodology, results, discussion, and conclusion.

  7. 7

    Use the required citation style (APA/MLA/Chicago or university format) and cite any reused figures/tables to avoid unethical practice.

Highlights

The transcript treats literature review as the engine that produces a research gap, objectives, and a problem statement—not just a summary of papers.
A supervisor assignment is presented as an early gating step; without it, students are advised to contact the department to secure guidance.
Research execution should be planned through “design of experiment,” whether in simulation or with hardware/software setups.
The abstract is positioned as a decision tool for readers: it should summarize problem, objectives, methods, key results, and conclusion quickly.
Results and discussion should be tightly cross-linked to prior literature using citations, with high-quality, justified tables and figures.

Topics

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