Courses

Observe the thought process of a computer science professor as he codes a project from scratch in this 13-hour video. Follow along as Radu Mariescu-Istodor, a PhD in computer science, demonstrates real-time problem-solving and decision-making while building an interactive avatar system. Learn about canvas setup, procedural drawing, image processing, particle systems, linear algebra, and real-time face tracking. Watch as Radu tackles challenges like head rotation, dynamic hair simulation, and facial feature recognition without referencing external resources. Gain insights into code refactoring, debugging techniques, and the iterative nature of software development. This comprehensive coding session covers everything from initial planning to final testing, providing a unique opportunity to understand the mindset and approach of an experienced computer scientist.

Today is the era of Digitisation and Agriculture cannot be ignored from this aspect. To get the best from the agriculture, we must take the advantage of technology. Since the smart phone has reached the nook and corner of the world, most of the farmers and all stake holders can use technology for Agriculture produces for various reasons. Improve yields Better disease control Reduce costs Efficient use of resources so outcome is better improved. This course is all about the role of Digital in Agriculture, various opportunities and challenges and way forward. It provides the basic knowledge needed in Digital Agriculture. The course also covers the various technology which is being used in various / area of Agriculture.

Agricultural Economics course plays a crucial role in understanding the relationship between agriculture and Economics. This course is designed in such in a progressive manner, starting from basic to advanced topics with simplified technical concept. The course will provide an in-depth idea about the role of Economics in the field of Agriculture. It covers a wide range of topics aimed at equipping learners with the knowledge and skills necessary to analyses and address economic challenges and opportunities within agriculture and rural development. The course assists learners to apply analytical, business and managerial skills to range of activities in the field of agriculture. This course helps in understanding how resources such as land, labor, capital, and technology are allocated within the agricultural sector. Efficient resource allocation is crucial for maximizing agricultural productivity and profitability. By enrolling in this course the learners learn about production functions, input-output relationships, cost analysis, and optimization techniques to maximize farm profitability and efficiency. It provides insights into the functioning of agricultural markets, including supply and demand dynamics, price determination, market structures, and market integration. The course enlightens the role of government policies and interventions in shaping agricultural markets and influencing farm income, production, and trade and enable learners to learn about agricultural policy instruments, including subsidies, price supports, trade policies, and their economic implications. The course provides an in-depth knowledge about market failures, externalities, and policy instruments for promoting sustainable agricultural practices and natural resource management. The Course will have specific learning objectives 1. Provide deep understanding of various concepts and theoretical perspectives related to Agricultural Economics. 2. Impart knowledge and skills necessary to analyse and address economic challenges and opportunities within agriculture and rural development. 3. Help in understanding of how resources such as land, labour, capital, and technology are allocated within the agricultural sector 4. Explore production functions, input-output relationships, cost analysis, and optimization techniques to maximize farm profitability and efficiency 5. Provide insights into the functioning of agricultural markets, including supply and demand dynamics, price determination, market structures, and market integration. 6. Analyze the role of government policies and interventions in shaping agricultural markets and influencing farm income, production, and trade 7. Evaluate the agricultural policy instruments, including subsidies, price supports, trade policies, and their economic implications. 8. Provides an in-depth knowledge about market failures, externalities, and policy instruments for promoting sustainable agricultural practices.

Agricultural Geography provides the basic information of various types of the agriculture on the earth surface viz., Subsistence, commercial, horticulture, specialised etc. Agricultural Geography as a sub-discipline of human and economic geography. The geography of human activities is called as ‘economic geography’ which examines the primary, secondary, tertiary and quaternary activities of man. Man in his primeval stage was a hunter and gather and during the Neolithic period he learned the art of cultivation of crops. Thus, agriculture had been the dominant economic activity in the past and it is still the mainstay of over two-third of the world population. The study of agricultural geography is thus of great social relevance among all the branches of human geography

Explore urban data science applications in this comprehensive lecture by Professor Cecilia Mascolo from the University of Cambridge. Delve into human mobility modeling, mobile and sensor systems, and spatio-temporal data analysis. Learn about innovative research on interpreting and inferring mobile and wearable sensor data efficiently on devices, while respecting fine-grained spatial and temporal granularity. Discover how this interdisciplinary field impacts urban planning, mobile health, and organizational analytics. Examine concepts such as co-location coefficient, geographic and mobility features of areas, and urban growth patterns. Investigate the impact of new places on urban development, data-driven policy making, and the effects on London boroughs. Analyze geo-social interconnected networks, place social brokerage, and the relationship between diversity and deprivation. Explore taxi price comparisons, app adoption patterns, and user complaints. Gain insights into urban mobility models, including Samuel A. Stouffer's work, the importance of density, and rank universality. Conclude with a simulation demonstrating a new model for urban mobility, providing a comprehensive overview of cutting-edge urban data science applications.

Explore agricultural lung diseases in this comprehensive 59-minute grand rounds presentation. Delve into respiratory hazards, allergens, endotoxins, and bioaerosols in agricultural settings. Examine the effects of animal confinement gases on upper airway diseases, asthma, and COPD. Investigate genetic susceptibility, hypersensitivity pneumonitis, and its pathogenesis. Learn about organic dust toxic syndrome through case studies. Discuss interstitial lung disease, lung cancer risks, and silo-fillers disease in agricultural contexts. Conclude with preventive strategies and a hierarchy of controls to mitigate respiratory risks in agricultural work environments.

This course will cover the agricultural and urban water quality issues in Florida, their bases, land and nutrient management strategies, and the science and policy behind the best management practices (BMPs). Students will learn to evaluate BMP research and analyze its role in determining practices and policies that protect water quality.

“This course will soon be retired. Last day to enroll is November 17 at 2025 at 00:00 UTC. ” Agricultural system models play increasingly important roles in creating sustainable agriculture businesses across diverse agro-ecological and socio-economic conditions. Agricultural system models are being used for various types of landscape-scale, national, and global modeling and analysis. Models provide information to land managers, policymakers, and the general public that inform management practices, public policy design, research and development, and investment decisions in order to maximize sustainability goals. Learners will use models as "thinking tools" to inform strategy by looking at how different variables in different magnitudes and times affect outcomes in specific contexts. Understanding and using models are preferred versus field and farm experiments that require large amounts of resources and may still not provide sufficient information to identify appropriate and effective management practices. This course will explain how manipulation of a sustainable agriculture model helps learners focus onagriculturalsystems as a whole and understand the multiple variables that interact within that system to achieve economic and sustainability outcomes

Explore the challenges and opportunities of applying machine learning beyond the tech industry in this 58-minute lecture by Professor David Dunson from Duke University. Delve into the fundamental differences between tech applications and those in science and policy-making, examining why popular algorithms like deep learning may fail in other domains. Learn about the potential pitfalls of naively applying off-the-shelf ML algorithms in criminal justice, neuroscience, policy-making, and healthcare. Discover the importance of developing targeted methods that address selection bias, uncertainty quantification, limited training data, and complex observations. Focus on two specific problems: removing sensitive variable influence for fair predictive algorithms and creating interpretable models of human traits based on brain connection structure. Gain insights into Bayesian statistical theory, dimensionality reduction, and nonparametric approaches for high-dimensional and complex data across various disciplines.

In this course, you will learn about the bioactive components and the benefits of rice bran and fermented rice bran for preventing chronic diseases such as metabolic syndrome. You will learn about the basic knowledge of the immune system and the correlations among mammary gland, epithelial mucosa, and immune in the dairy cows. This class includes two main topics. One is given by professor Hitoshi Shirakawa, a visiting professor of Taipei Medical University and professor of Laboratory of Nutrition, Graduate School of Agricultural Science, Tohoku University. The other one is given by associate professor Tomonori Nochi, a visiting professor of Taipei Medical University and associate professor of Laboratory of Functional Morphology, Graduate School of Agricultural Science, Tohoku University. This course is designed for any student interested in learning specific research topics, rice barn, and epithelial mucosa and immune in the dairy cow.

Explore how breakthrough agricultural technologies are revolutionizing farming practices in this 59-minute panel discussion from The Aspen Institute. Discover cutting-edge innovations that dramatically reduce emissions, enhance agricultural resilience, and position farmers as climate change leaders. Learn about transformative technologies reshaping both crop fields and livestock pastures, while meeting the visionary leaders spearheading this agricultural revolution that promises to rewrite the fundamental rules of food production and environmental stewardship.

Watch a 27-minute graduate-level seminar lecture from the Graduate School of Agriculture at Kyoto University focusing on Agricultural Process Engineering. Learn from Professor Diding SUHANDY as he delivers an in-depth presentation exploring key concepts and developments in agricultural processing techniques and methodologies. Gain insights into advanced engineering principles applied to agricultural processes through this academic seminar recorded in December 2011.

Watch a 20-minute instructional video on agricultural repair techniques presented by Cliff, an experienced instructor from Weld.com. Learn practical skills for maintaining and repairing farm equipment on a ranch setting. Gain insights into common agricultural maintenance tasks and repair procedures that can be applied to various farming situations. Discover valuable tips and tricks from a seasoned professional to help improve your agricultural repair capabilities.

Explore how Notion can revolutionize productivity for professors and content creators in data science. Learn about the platform's modular and customizable features, including support for code snippets, as well as its applications in teaching, content creation, portfolio building, and e-book production. Discover practical use cases, such as a 66-day data challenge template, and gain insights into team collaboration and time-saving techniques. Dive into the various aspects of Notion that make it an invaluable tool for managing academic and creative endeavors in the field of data science.

Explore climate data science in this comprehensive lecture by Professor Doug Nychka, Director of the Institute for Mathematics Applied to Geosciences at the US National Center for Atmospheric Research. Delve into the complexities of climate modeling, Earth observation, and data analysis techniques used to understand our rapidly changing planet. Learn about the advancements in climate and weather models, the growth of Earth observation satellites, and the challenges of processing vast amounts of environmental data. Discover how new tools in data sciences are being applied to address critical questions related to climate and the environment. Gain insights into topics such as climate dynamics, multi-resolution representation, ensemble modeling, detection and attribution of climate signals, and pattern scaling. Understand the data science challenges facing Earth System research and the importance of combining models and observational data to improve our understanding of climate processes.

The course describes the various phases of the Indian agriculture development starting from the pre-historic agriculture to the modern agriculture. The course identifies the traditions, belief and agricultural practices followed by Indian farmers. The course explains the scope of Indian agriculture and its contribution in the Indian economy. The status, utilization pattern, problems and development of agricultural resources viz. land, labour, water, biodiversity, livestock and fisheries are covered. Institutional development in agriculture such as cooperatives, farmers’ organization, institutional finance, research, educationand extension warehousing and storage, public distribution system, etc. are explained along with their importance. Various concepts such as capital formation, agricultural pricing, taxation and subsidies are briefly described along with their importance in agricultural production management. The course talks about the role of food grains procurement, storage, marketing, research and technology transfer in development of Indian agriculture. The learners will recognise the emerging issues and trends in agriculture such as diversification, agriculture industry interface, trade, quality, gender and sustainability, globalization and use of information and communication technology.The course content is delivered through 40 video lessons in 16 weeks duration. Every week, learners will have to go through the video lessons. The video lessons are supported by the self learning materials. In addition, a number of web links will be provided to support the study materials and to get the updated information. Self assessment questions will be provided after each lesson. Learners have to complete the assignments after going through major sections of study material.This Post graduate course on "Indian Agricultural Development" is useful to those who are working or who want to build their carrier in agriculture and allied sectors as this course provides basic learning about the agriculture sector.

What can be obtained by learning this course?You can know the laws behind the emergence and development of agricultural product trade.You can analyze the formation and fluctuation of market price for agricultural products.You can catch a glimpse of the political and economic relations between countries from the perspective of agricultural product trade.Meanwhile, you can analyze why some people will support free trade to which others oppose.

Tackle three challenging integrals using first-year calculus integration techniques in this 24-minute video. Learn how to apply double integration by parts, u-substitutions, conjugates, and trigonometric substitutions to solve complex problems. Follow along as Dr. Trefor Bazett demonstrates step-by-step solutions, offering insights into recognizing and overcoming disguised integration challenges. Gain valuable practice in advanced integration methods and improve your problem-solving skills for calculus exams and real-world applications.

Explore the critical factors that determine CPU performance in this 17-minute podcast episode designed for A Level Computer Science students. Examine how clock speed, number of cores, and cache memory each contribute to processing efficiency and overall system performance. Delve into memory structure fundamentals, including the organization of words and the essential roles of address buses and data buses in information access and retrieval. Understand the relationship between machine code and assembly language, discovering how instruction formats are determined by specific computer architectures. Learn about pipelining techniques that enhance processor performance through overlapping operations, allowing multiple instructions to be processed simultaneously. Gain comprehensive insights into the key elements that impact a processor's capabilities, from hardware components to software instruction handling, providing essential knowledge for understanding modern computer system performance optimization.

COURSE OUTLINE: Organic farming is an integrated system of agricultural production based on ecological principles, promotion of biodiversity, biological cycles and organic matter recycling to maintain and improve soil fertility and environmental sustainability. The regulations for organic crop cultivation prohibit the use of chemo-synthetic pesticides, mineral fertilizers, growth promoters and Genetically Modified Organisms. Indiscriminate use of these chemicals in conventional farming poses a serious threat to the quality of produce as well as the environment. Concern about food safety and security and environmental sustainability is increasing among scientist, administrator and environmentalist. In view of this, the course is designed to train students on organic farming practices, quality analysis of the products, environmental impact assessment, health benefit of the organic food, etc. After successful completion of the course, the students should be able to design resource efficient farming system for small and marginal farmers for improving their economy while meeting the quality food demand in a sustainable environment