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Subject: EBGN Number: 690

Course Title: Primary Fuels


Semester/year:Spring 2015

Instructor or Coordinator: Ian Lange

Contact information (Office/Phone/Email): EH 329/303-384-2430/

Office hours: TR 1-2

Class meeting days/times: TR 2-3:15

Class meeting location: MZ 235

Web Page/Blackboard link (if applicable):
Teaching Assistant (if applicable):

Contact information (Office/Phone/Email):
Instructional activity: _30__ hours lecture ___ hours lab ___ semester hours
Course designation: ___ Common Core ___ Distributed Science or Engineering

___ Major requirement ___ Elective _x__ Other (please describe _Core for
MEE MS/PhD program__________)
Course description from Bulletin:
Textbook and/or other requirement materials:
Required text: None, we will use journal articles and other readings
Other required supplemental information: Readings as specified/given on Blackboard
You may like to have your econometrics textbook nearby or Mostly Harmless
Econometrics by Angrist and Pischke
Student learning outcomes: At the conclusion of the class students will…
1. Rigorous identification of issues affecting coal, oil and gas extraction
2. Market structure effects on production
3. The impact of policies on production and investment
6. Where to find basic data on energy supply and investment
7. How to organize basic information in a paper/presentation
8. How to write/present your thoughts in a clear and concise manner

Brief list of topics covered:
1. Statistical Identification
2. Policy Evaluation

3. Coal Markets and Policy
4. Oil Markets and Policy
5. Gas Markets and Policy

Policy on academic integrity/misconduct: The Colorado School of Mines affirms the principle that all
individuals associated with the Mines academic community have a responsibility for establishing,
maintaining and fostering an understanding and appreciation for academic integrity. In broad terms, this
implies protecting the environment of mutual trust within which scholarly exchange occurs, supporting the
ability of the faculty to fairly and effectively evaluate every student’s academic achievements, and giving
credence to the university’s educational mission, its scholarly objectives and the substance of the
degrees it awards. The protection of academic integrity requires there to be clear and consistent
standards, as well as confrontation and sanctions when individuals violate those standards. The Colorado
School of Mines desires an environment free of any and all forms of academic misconduct and expects
students to act with integrity at all times.
Academic misconduct is the intentional act of fraud, in which an individual seeks to claim credit for the
work and efforts of another without authorization, or uses unauthorized materials or fabricated information
in any academic exercise. Student Academic Misconduct arises when a student violates the principle of
academic integrity. Such behavior erodes mutual trust, distorts the fair evaluation of academic
achievements, violates the ethical code of behavior upon which education and scholarship rest, and
undermines the credibility of the university. Because of the serious institutional and individual
ramifications, student misconduct arising from violations of academic integrity is not tolerated at Mines. If
a student is found to have engaged in such misconduct sanctions such as change of a grade, loss of
institutional privileges, or academic suspension or dismissal may be imposed.

The complete policy is online.

Grading Procedures: Scientific Review: 35% Presentation: 25%
Final Paper: 40%
There are three assignments in this course. The assignments were chosen to fit the structure of a
seminar course. I expect that the PhD students will want to get something a little different out of this class
than the Masters students. As a result, the manner in which these assignments will be completed is likely
to differ for these two groups (PhD students focusing more on methods and data, Masters students
focusing on takeaway points).
The first is a scientific review of a piece of work. As will be discussed in class, there are certain aspects of
a review that are more pertinent to praise or critique a piece of work. For example, you can’t argue that a
paper written in 2011 should have included data from 2014. The goal with this assignment is to evaluate
whether you can assess the quality of another piece of work. The scientific review will be due Tuesday,
March 3rd.
The second assignment is to lead one of the classes with a topic of your interest. Please have your
paper/report/topic approved by me. There are a couple of reasons for this assignment. First, teaching a
topic is one of the best ways to learn it well. Second, as the class is very specialized this assignment
allows for the class to discuss topics they are most interested in. Finally, oral communication skills are
extremely important for the careers most of you will be entering. Presentations will start the week of
March 23rd and we will schedule them during the third week of the course. Presentations will be marked
on their clarity, depth of understanding shown, and quality. It is expected that each person will lead their
own class. Guidelines for strong presentations will be given in class. Additionally, I will be leading the first
half of the course so you will see what I think is a good way to present.
The final assignment is a research paper of your own. You are not required to perform your own
econometric analysis but the paper is expected to be a serious analysis of a question of interest to you. It
is highly suggested that you choose the topic of your presentation and paper strategically. I will provide
some guidelines for a strong paper but one can/should also follow the patterns/style in the papers that are
discussed in class.
Coursework Return Policy: The goal is to get coursework feedback within two weeks.
Absence Policy (e.g., Sports/Activities Policy): Please notify me ahead of time if you will be absent for
tests or the final.

 Homework must be turned in before it is due to be graded – plan ahead.
 Exams: If you will be absent during a scheduled exam, you should schedule a make-up time
before you leave.

Detailed Course Schedule:

Week 1: Introduction to Course and Statistical Methods
Week 2: Inference in Statistical Methods and Policy Evaluation (What do we believe)
Week 3: How to Make and Frame Scientific Arguments
Week 4 and 5: Coal Markets
Week 6 and 7: Oil Markets
Week 8 and 9: Gas Markets
Week 10: Spring Break
Week 11: Data and dealing with the lack of it
Week 12-15 (late March-): Student Presentations of a topic
Week 16: Final Thoughts