Assessment
Grade rubrics vary for in-class versus online students due to slight differences in work load. I will use the higher overall grade based on these two systems for in-class students.
In Class
Assignments 30%
Exams 45%
Quizzes 10%
Term Project 15%
Online
Assignments 25%
Exams 50%
Quizzes 10%
Term Project 15%
Exams: There will be two exams both given via bblearn. Exams will be composed of a combination of multiple choice and short answer questions.
Quizzes: Quizzes will be dispersed throughout the semester approximately every other week to gauge students’ ability to comprehend basic material. All quizzes may be administered through bblearn.
Assignments: Practical problems of both the descriptive and quantitative variety will be given to reinforce concepts in lectures and readings. Please be aware that as a 400-level class assignments should be emphasized and will take several hours each week. I will encourage, but not require, you to use programming languages (R, Python, MATLAB) in the assignments. You may use EXCEL. For those interested, I will provide a very basic overview of MATLAB programming language in several assignments (video online videos) to help out. One goal of this class is for you to become semi-competent with statistical analyses of time series.
Term Project: Students will work with Dr. Abatzoglou to develop an applied or research based experience using climate data. More information on the scope of the projects and examples will be presented in the course. A formal statement of work on the term project due March 8th. Each student will review his or her proposed work plan the week following spring break. A 5-10 page scientific report and 5- minute presentation will be due the last day of class. Online students will be required to create a video presentation of their work.
Makeup Policy: There will be no makeup quizzes and arrangements to makeup exams must be made at least 1 week PRIOR to the exam date. Late homework assignments will be penalized 15% per class period and not accepted more than 1 class period late. Late assignments must be handed in prior to the beginning of class.
Grade rubrics vary for in-class versus online students due to slight differences in work load. I will use the higher overall grade based on these two systems for in-class students.
In Class
Assignments 30%
Exams 45%
Quizzes 10%
Term Project 15%
Online
Assignments 25%
Exams 50%
Quizzes 10%
Term Project 15%
Exams: There will be two exams both given via bblearn. Exams will be composed of a combination of multiple choice and short answer questions.
Quizzes: Quizzes will be dispersed throughout the semester approximately every other week to gauge students’ ability to comprehend basic material. All quizzes may be administered through bblearn.
Assignments: Practical problems of both the descriptive and quantitative variety will be given to reinforce concepts in lectures and readings. Please be aware that as a 400-level class assignments should be emphasized and will take several hours each week. I will encourage, but not require, you to use programming languages (R, Python, MATLAB) in the assignments. You may use EXCEL. For those interested, I will provide a very basic overview of MATLAB programming language in several assignments (video online videos) to help out. One goal of this class is for you to become semi-competent with statistical analyses of time series.
Term Project: Students will work with Dr. Abatzoglou to develop an applied or research based experience using climate data. More information on the scope of the projects and examples will be presented in the course. A formal statement of work on the term project due March 8th. Each student will review his or her proposed work plan the week following spring break. A 5-10 page scientific report and 5- minute presentation will be due the last day of class. Online students will be required to create a video presentation of their work.
Makeup Policy: There will be no makeup quizzes and arrangements to makeup exams must be made at least 1 week PRIOR to the exam date. Late homework assignments will be penalized 15% per class period and not accepted more than 1 class period late. Late assignments must be handed in prior to the beginning of class.