Course Details in 2027/28 Session


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Module Title LM Computational Biology for Complex Systems
SchoolSchool of Medical Sciences
Department Inst of Cancer / Genomic Sci
Module Code 02 42361
Module Lead TBC
Level Masters Level
Credits 20
Semester Semester 1
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-20 hours
Seminar-2 hours
Tutorial-4 hours
Practical Classes and workshops-22 hours
Guided independent study-152 hours
Total: 200 hours
Exclusions
Description This module focuses on big data-driven science leveraging diverse omics modalities in the environmental, ecological and toxicological areas. This module will draw from the fields of molecular biology, genomics, genetics, evolutionary biology, computational biology, toxicology, and risk assessment ?though these are not prerequisites for enrolment. Theory and concepts will be highlighted by real world applications drawn from the scientific literature. By involving instructions from industry, government agency and NGO scientists, it means to offers a variety of dynamically evolving career paths to students.

Specifically it will contain 3 parts:
  • Introduction to Environmental, Ecological and Toxicological Sciences and practical examples ? with a focus on research conducted in the University of Birmingham Macrocosms. In the first year, this will focus specifically on BIFoR and DRI-STREAM.
  • Data types and problems faced in the study of highly complex environmental and biological systems.
  • Computational approaches specific to the field such as complexity theory, hierarchical models, ecological models, population dynamics, and the emerging fields in which Birmingham faculty play a world-leading role: phylogenomic toxicology and molecular ecosystems biology.
Learning Outcomes By the end of the module students should be able to:
  • Demonstrate a fundamental technical understanding of Omics technologies (transcriptomics and metabolomics), high-throughput in vivo and in vitro assays, computational approaches as applied to environmental, ecological, and holobiotic systems (animals and/or plants + their microbiomes)
  • Demonstrate a systematic understanding of the emerging field of Molecular Ecosystems Biology, including an emphasis on biotic-abiotic interactions, and the role of the microbiome in establishing the health and resiliency of organisms.
  • Demonstrate a conceptual and mechanistic understanding of integrative analysis techniques for multi-omics data ? and the ability to apply these techniques to their own research
  • Demonstrate a systematic understanding and critical awareness of the implications of research in Biology related fields, especially ethically
  • Deliver a compelling abstract and oral presentation on original research in the ecological sciences.
Assessment
Assessment Methods & Exceptions Assessment:

Examination, including MCQ and Short Essay:
- Exam, 2-hours in class 60%
  • Course work
    - Presentation 25%
    - Synopsis/Abstract, 250 words 15%

    Reassessment:If a student fails the module then they will be required to repeat the failed components only.
  • Other
    Reading List