**Math ****763**: Generalized Linear Models

*Fall 2018 Graduate Course Syllabus*

**NJIT Academic Integrity Code**: All Students should be aware that the Department of Mathematical Sciences takes the University Code on Academic Integrity at NJIT very seriously and enforces it strictly. This means that there must not be any forms of plagiarism, i.e., copying of homework, class projects, or lab assignments, or any form of cheating in quizzes and exams. Under the University Code on Academic Integrity, students are obligated to report any such activities to the Instructor.

## Course Information

**Course Description**: Theoretical and applied aspects of generalized linear models. Classical linear models, nonlinear regression models, and generalized estimating equations.

**Number of Credits**: 3

**Prerequisites**: MATH 662 and MATH 665 or departmental approval.

**Course-Section and Instructors**

Course-Section |
Instructor |

Math 763-001 |
Professor S. Dhar |

**Office Hours for All Math Instructors**: Fall 2018 Office Hours and Emails

**Required Textbooks**:

**Title** |
*Generalized Linear Models: With Applications in Engineering and the Sciences* |

**Author** |
Myers, et al. |

**Edition** |
2nd |

**Publisher** |
John Wiley & Sons, Inc. |

**ISBN #** |
978-0470454633 |

**Website** |
NJIT Moodle |

**University-wide Withdrawal Date**:The last day to withdraw with a **w** is **Monday, November 12, 2018**. It will be strictly enforced.

## Course Goals

**Course Objectives**: This course teaches theory and practice of generalized linear models (GLM), testing, estimation, and confidence intervals of parameters, regression and analysis of variance, modeling nonlinear regression diagnostics and their plots, variable selection and model selection. Transformation method such as Box-Cox is taught. In case over dispersion is present, how to correct for it is introduced. Also when, data are dependent generalized estimating equations are introduced. Statistical software such as SAS and R, are extensively used to analyze data.

**Course Outcomes**: Upon successful completion of this course, the student will be able to:

- Demonstrate conceptual understanding of GLM and related topics.

- Perform statistical analysis, such as estimation, hypothesis testing, and analysis of variance, under generalized linear models, nonlinear regression models and regression models.

- Use standard statistical software to develop models and analyze data that arise from different fields. Students who successfully complete this course will be able to use SAS and R to accomplish model building.

- Demonstrate using software to implement transformation method such as Box-Cox, proper transformations and correct for over dispersion when present to improve the model.

- Apply generalized estimating equations methodology.

- Read and use published research in GLM.

## Policies

**DMS Course Policies**: All DMS students must familiarize themselves with, and adhere to, the Department of Mathematical Sciences Course Policies, in addition to official university-wide policies. DMS takes these policies very seriously and enforces them strictly.

**Grading Policy**: The final grade in this course will be determined as follows:

**Hand-in Homework and Quizzes** |
20% |

**Midterm Exam** |
25% |

**Course Project** |
25% |

**Final Exam** |
30% |

**Total** |
*100%* |

Your final letter grade will be based on the following tentative curve.

**A** |
90 - 100 |
**C+** |
75 - 79 |

**B+** |
85 - 89 |
**C** |
65 - 74 |

**B** |
80 - 84 |
**F** |
0 - 64 |

**Attendance Policy**: Attendance at all classes will be recorded and is **mandatory**. Please make sure you read and fully understand the Math Department’s Attendance Policy. This policy will be strictly enforced.

**Course Policy**: It is required that the student read the textbook for the material already covered in class by the instructor and confirm that the basic solved problems are understood and practice solving textbook problems. More explicitly, students must work on the examples and exercises and problems from the textbook on the topics already covered in class, and learn to solve them correctly. The student should compare his or her answers with those given at the end of the textbook or by the instructor. Instructor holds the right to modify in class exams, homework, quizzes dates in the best interest of the class. Official announcements are made using NJIT student emails or emails provided by students to NJIT as official emails. Only basic calculators without graphic capabilities are allowed during exams and quizzes.

**Homework Policy**: Homework will be assigned roughly every week. Late homework will not be accepted.

**Class Policy**:

**Attendance and Participation**: Students must attend all classes. Absences from class will inhibit your ability to fully participate in class discussions and problem solving sessions and, therefore, affect your grade. Tardiness to class is very disruptive to the instructor and students and will not be tolerated.
- Cell phones if used for communicating (e.g. texting, etc.) during lecture in the classroom will be confiscated and returned to the student only at the end of class. All cellular phones and beepers must be switched off during all class times.
- No assignments, homework, exams will be accepted late.
- Distracting the class such as eating during the class or exams, wandering in and out of the classroom is not allowed.
- Surfing on the internet using Laptops/computer/ pads, devices, etc., are not allowed when the instructor is lecturing.

**Exams**: There will be one midterm and one final exam (see course outline). All exams will be closed-book. No make-up exams are allowed in case of extenuating circumstances with legitimate and verifiable excuse, scores will be imputed. Calculators are allowed but should be basic and without graphing capabilities.

Midterm Exam |
October 24, 2018 |

Final Exam Period |
December 15 - 21, 2018 |

The final exam will test your knowledge of all the course material taught in the entire course. Make sure you read and fully understand the Math Department's Examination Policy. This policy will be strictly enforced.

**Makeup Exam Policy**: To properly report your absence from a midterm or final exam, please review and follow the required steps under the DMS Examination Policy found here:

**Cellular Phones**: All cellular phones and other electronic devices must be switched off during all class times.

## Additional Resources

**Accommodation of Disabilities**: Disability Support Services (DSS) offers long term and temporary accommodations for undergraduate, graduate and visiting students at NJIT.

If you are in need of accommodations due to a disability please contact Chantonette Lyles, Associate Director of Disability Support Services at 973-596-5417 or via email at lyles@njit.edu. The office is located in Fenster Hall, Room 260. A Letter of Accommodation Eligibility from the Disability Support Services office authorizing your accommodations will be required.

For further information regarding self identification, the submission of medical documentation and additional support services provided please visit the Disability Support Services (DSS) website at:

**Important Dates** (See: Fall 2018 Academic Calendar, Registrar)

Date |
Day |
Event |

September 4, 2018 |
T |
First Day of Classes |

September 10, 2018 |
M |
Last Day to Add/Drop Classes |

November 12, 2018 |
M |
Last Day to Withdraw |

November 20, 2018 |
T |
Thursday Classes Meet |

November 21, 2018 |
W |
Friday Classes Meet |

November 22 - 25, 2018 |
R - Su |
Thanksgiving Recess |

December 12, 2018 |
W |
Last Day of Classes |

December 13 & 14, 2018 |
R & F |
Reading Days |

December 15 - 21, 2018 |
Sa - F |
Final Exam Period |