This course will enable the students to develop a conceptual understanding of logical reasoning, data interpretation and information & communication technology, also, have a general awareness of people, environment, and natural resources and their impact on quality of life.
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24GSAA320 |
Logical and Analytical Aptitude (Theory) |
On completion of this course, the students will be able to: CO7: discover and design key concepts in logical thinking to problems. It equips students to critically analyze material (information) in order to evaluate evidence and construct reasoned arguments. CO8: to solve the given data problem and tend to find patterns and meaning in the data so as to get to a conclusion. Data interpretation refers to the process of examining, analyzing, and deducing meaningful insights from collected data. CO9: perceive and interpret ICT operations, examine digital resources and develop 21st Century Competencies and design thinking skills. CO10: distinguish the historical context of human interactions with the environment and gain insights into the international efforts to safeguard the Earth’s Environment and resources. CO11: Elaborate and promote economic, technological and social change. It maximizes the exchange of knowledge, research and innovation. leadership in all aspects of life. CO12: Contribute effectively in coursespecific interaction. |
Approach in teaching: Interactive Lectures, Discussion, Tutorials, Reading assignments; Solving Questions. Learning activities for the students: Self learning assignments, Effective questions. |
Class test, Unit end examinations, Quiz, Solving problems in Assignments. |
• Evaluating and distinguishing deductive and inductive reasoning.
• Analogies.
• Venn diagram: Simple and multiple use for establishing validity of arguments.
• Indian Logic: Means of knowledge.
• Pramanas: Pratyaksha (Perception), Anumana (Inference), Upamana (Comparison), Shabda (Verbal testimony), Arthapatti (Implication) and Anupalabddhi (Non-apprehension).
• Structure and kinds of Anumana (inference), Vyapti (invariable relation), Hetvabhasas (fallacies of inference).
• Quantitative and Qualitative Data.
• Graphical representation (Bar-chart, Histograms, Pie-chart, Table-chart and Line-chart) and mapping of Data.
• Data Interpretation.
• Data and Governance.
• Basics of Internet, Intranet, E-mail, Audio and Video-conferencing.
• Digital initiatives in higher education.
• ICT and Governance.
• Development and environment: Millennium development and Sustainable development goals.
• Human and environment interaction: Anthropogenic activities and their impacts on environment. • Environmental issues: Local, Regional and Global; Air pollution, Water pollution, Soil pollution, Noise pollution, Waste (solid, liquid, biomedical, hazardous, electronic), Climate change and its Socio-Economic and Political dimensions.
• Impacts of pollutant son human health.
• Natural and energy resources: Solar, Wind, Soil, Hydro, Geothermal, Biomass, Nuclear and Forests. • Natural hazards and disasters: Mitigation strategies.
• Environmental Protection Act (1986), National Action Plan on Climate Change, International agreements/efforts -Montreal Protocol, Rio Summit, Convention on Biodiversity, Kyoto Protocol, Paris Agreement, International Solar Alliance.
• Evolution of higher learning and research in Post-Independence India.
• Oriental, Conventional and Non-conventional learning programmes in India.
• Professional, Technical and Skill Based education.
• Value education and environmental education.
• Policies, Governance and Administration.
SUGGESTED REFERENCE BOOKS:
• The Climate Book by Greta Thunberg • NEP-2020 Report by M.O.E.
e - RESOURCES: