Course Goals (dm)
The main course themes are listed here. Clicking on their links takes you to detailed lists of topics and learning goals.
Each of the detailed lists have additional links to the content associated with each learning goal. Access to the online content is restricted to students enrolled in the course.
Learning Outcomes. By the end of this course, you will be able to...
- explain meteorological fundamentals and weather-system evolution. (theory)
- access and interpret relevant weather data and critically evaluate its utility and deficiencies. (tools & resources)
- formulate alternative courses of action, and the consequences of each. (application of conceptual models)
- select the best course of action in the face of uncertainty. (decision making)
- anticipate weather changes based on atmospheric principles. (applied problem-solving skills)
Learning Enhancement. By the end of this course, you will have ...
- gained experience on how to ask relevant weather-related questions, and how to use weather information to make decisions.
- gained confidence in your ability to make justifiable decisions similar to those made by experts.
- refined your discussion and debate skills in small teams or work-groups via the Canvas Discussion board.
- created your own ePortfolio for renewable energy potential near your home.
Life Skills and Sustainable Benefits. By the end of this course, you will have enhanced their ability to ...
- compare the pros and cons of different weather-controlled renewable-energy sources.
- contrast renewable, clean, and green energy sources and markets.
- seek jobs requiring renewable-energy weather expertise.
- think critically about weather information you receive.
- apply your meteorological knowledge to the world around you.
- find solutions to important energy problems facing society.
Building Expertise. By the end of this course, your will have gained some of the following components of expertise, as elaborated by Nobel Prize winner Carl Wieman (Apr 2013). He said that experts ...
- frame key concepts into mental models describing processes/situations, and set selection/decision criteria to choose the best model.
- recognize relevant vs. irrelevant information.
- determine what information is needed to solve the problem, and what questions to ask.
- check whether the answer/conclusion makes sense.
- integrate model development, testing, and use as a unified activity.
- easily move between specialized representations (graphs, equations, physical simulations, etc.)
Motivation. As a 300-level course, it requires students to ...
- analyze and interpret weather data,
- design and solve the associated numerical problems,
- apply meteorological principles to renewable energy,
- compare potential outcomes, and
- make justifiable decisions as if they were professional environmental consultants.
Namely, this course aims for the higher levels of Blooms taxonomy.
Module Learning Goals. Each module presents a case study, as a way to apply your new meteorology knowledge. Module learning goals are listed here (pdf). However, these module-learning-goals are not tested during the exams -- only the Learning Goals accessed via the 5 bullets near the top of this web page are tested on exams . Instead, the module learning goals relate to points you earn as you work through each module.
This course is an application of basic science knowledge to a specific issue for which there is societal need and job opportunities. It would be the end-point for undergrad ATSC instruction on this topic.
- To teach students about atmospheric science by using the relevant timely topics of renewable energy to capture their imagination and stimulate their study.
- To increase enrollment in ATSC courses and possibly attract more ATSC majors or minors.
- To make the ATSC undergrad program more relevant to industry.
- To be one of the optional courses in a planned Certificate of Meteorology program, to enable retraining of existing meteorologists and engineers.