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Deep Learning course taught in Electrical and Computer Engineering at Stevens Institute of Technology

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Deep Learning: EE 628

Electrical and Computer Engineering Fall 2019 at Stevens Institute of Technology

  • Meeting Times: Thursdays at 3.30pm-6pm

  • Classroom Location: Main Campus, B 430

  • Instructor: Dr. Sergul Aydore

  • Contact Info: Burchard Building 211, saydore@stevens.edu

  • Office Hours: Burchard Building 211, Thursdays 1pm-3pm

  • Course Web Address: https://github.com/sergulaydore/EE-628-Spring-2020

  • Cross-listed with: Data Acquisition/Proc II

  • Prerequisite course: EE -627

COURSE DESCRIPTION

This course presents a solid grasp of the practical techniques of deep learning. The course formally introduces intution and ideas to successfully apply deep learning. Although deep learning requires both mathematics and programming, we will prioritize intution over mathematical rigor. However, we will assume that the students are familiar with the basics of statistics, linear algebra and Python programming. We will relate all concepts to a practical end.

STUDENT LEARNING OUTCOMES

After successful completion of this course, students will be able to

  • how to cast a problem that can be solved with deep learning,
  • the mathematics of modeling,
  • algorithms for fitting models to data,
  • engineering techniques to implement it all.

FORMAT AND STRUCTURE

  • The classes will include dynamic illustrations of the concepts. Students are expected to bring their laptops and run the programs in their own laptops.
  • There will be weekly coding or handwritten assignments. The students will return coding assignments via github.

COURSE MATERIALS

COURSE REQUIREMENTS

  • Attendance: Attendance is crucial for an effective learning but will not be graded.
  • Homework: All assignments will be submitted via github.
  • Project: Students are expected to finish a project that is documented in their github repository.
  • Exams: There will be hand-written mid-term exam.

GRADING PROCEDURES

Grades will be based on:

  • Assignments (30 %)
  • Mid-term Exam (30 %)
  • Team Projects (40 %)

Late Policy: Assignments submitted after the deadline will not be graded.

IMPORTANT DATES

  • Midterm exam **03/12/2020 at 3.30pm **
  • Deadline for Project Proposals 04/03/2020 Friday at 5pm ET
    • This includes creation of a github repository with READ.md file that contains the summary of the project.
    • Late submissions or repositories with empty READ.md file will lose 30 points from their grade for the project.
  • Deadline for Projects 04/27/2020 Monday at 5pm ET
    • Projects will be graded based on
      • project report with at least 6 pages using the style file (40 %)
      • project presentation on 04/30/2020 (40 %)
      • organization of the github page (20 %)

ACADEMIC INTEGRITY

Graduate Student Code of Academic Integrity

All Stevens graduate students promise to be fully truthful and avoid dishonesty, fraud, misrepresentation, and deceit of any type in relation to their academic work. A student’s submission of work for academic credit indicates that the work is the student's own. All outside assistance must be acknowledged. Any student who violates this code or who knowingly assists another student in violating this code shall be subject to discipline.

All graduate students are bound to the Graduate Student Code of Academic Integrity by enrollment in graduate coursework at Stevens. It is the responsibility of each graduate student to understand and adhere to the Graduate Student Code of Academic Integrity. More information including types of violations, the process for handling perceived violations, and types of sanctions can be found at www.stevens.edu/provost/graduate-academics.

Special Provisions for Undergraduate Students in 500-level Courses

The general provisions of the Stevens Honor System do not apply fully to graduate courses, 500 level or otherwise. Any student who wishes to report an undergraduate for a violation in a 500-level course shall submit the report to the Honor Board following the protocol for undergraduate courses, and an investigation will be conducted following the same process for an appeal on false accusation described in Section 8.04 of the Bylaws of the Honor System. Any student who wishes to report a graduate student may submit the report to the Dean of Graduate Academics or to the Honor Board, who will refer the report to the Dean. The Honor Board Chairman will give the Dean of Graduate Academics weekly updates on the progress of any casework relating to 500-level courses. For more information about the scope, penalties, and procedures pertaining to undergraduate students in 500-level courses, see Section 9 of the Bylaws of the Honor System document, located on the Honor Board website.

EXAM ROOM CONDITIONS

The following procedures apply to quizzes and exams for this course. As the instructor, I reserve the right to modify any conditions set forth below by printing revised Exam Room Conditions on the quiz or exam.

  1. Students are not permitted to use any electronic devices or text books during quizzes and/or exams.

  2. Students are/are not allowed to work with or talk to other students during quizzes and/or exams.

LEARNING ACCOMODATIONS

Stevens Institute of Technology is dedicated to providing appropriate accommodations to students with documented disabilities. The Office of Disability Services (ODS) works with undergraduate and graduate students with learning disabilities, attention deficit-hyperactivity disorders, physical disabilities, sensory impairments, psychiatric disorders, and other such disabilities in order to help students achieve their academic and personal potential. They facilitate equal access to the educational programs and opportunities offered at Stevens and coordinate reasonable accommodations for eligible students. These services are designed to encourage independence and self-advocacy with support from the ODS staff. The ODS staff will facilitate the provision of accommodations on a case-by-case basis.

Disability Services Confidentiality Policy

Student Disability Files are kept separate from academic files and are stored in a secure location within the Office of Disability Services. The Family Educational Rights Privacy Act (FERPA, 20 U.S.C. 1232g; 34CFR, Part 99) regulates disclosure of disability documentation and records maintained by Stevens Disability Services. According to this act, prior written consent by the student is required before our Disability Services office may release disability documentation or records to anyone. An exception is made in unusual circumstances, such as the case of health and safety emergencies. For more information about Disability Services and the process to receive accommodations, visit https://www.stevens.edu/office-disability-services. If you have any questions please contact: Phillip Gehman, the Director of Disability Services Coordinator at Stevens Institute of Technology at pgehman@stevens.edu or by phone (201) 216-3748.

INCLUSIVITY

Name and Pronoun Usage

As this course includes group work and in-class discussion, it is vitally important for us to create an educational environment of inclusion and mutual respect. This includes the ability for all students to have their chosen gender pronoun(s) and chosen name affirmed. If the class roster does not align with your name and/or pronouns, please inform the instructor of the necessary changes.

Inclusion Statement

Stevens Institute of Technology believes that diversity and inclusiveness are essential to excellence in academic discourse and innovation. In this class, the perspective of people of all races, ethnicities, gender expressions and gender identities, religions, sexual orientations, disabilities, socioeconomic backgrounds, and nationalities will be respected and viewed as a resource and benefit throughout the semester. Suggestions to further diversify class materials and assignments are encouraged. If any course meetings conflict with your religious events, please do not hesitate to reach out to your instructor to make alternative arrangements.

You are expected to treat your instructor and all other participants in the course with courtesy and respect. Disrespectful conduct and harassing statements will not be tolerated and may result in disciplinary actions.

MENTAL HEALTH RESOURCES

Part of being successful in the classroom involves a focus on your whole self, including your mental health. While you are at Stevens, there are many resources to promote and support mental health. The Office of Counseling and Psychological Services (CAPS) offers free and confidential services to all enrolled students who are struggling to cope with personal issues (e.g., difficulty adjusting to college or trouble managing stress) or psychological difficulties (e.g., anxiety and depression). Appointments are strongly encouraged and can be made by phone (201-216-5177) or in-person (on the 7th floor of the Howe Center). CAPS is open from 9:00 am – 5:00 pm Mondays, Wednesdays, Thursdays and Fridays and from 9:00 am – 7:00 pm on Tuesdays during the Fall and Spring semesters.
EMERGENCY INFORMATION In the event of an urgent or emergent concern about the safety of yourself or someone else in the Stevens community, please immediately call the Stevens Campus Police at 201-216-5105 or on their emergency line at 201-216-3911. These phone lines are staffed 24/7, year round. Other 24/7 resources for students dealing with mental health crises include the National Suicide Prevention Lifeline (1-800-273-8255) and the Crisis Text Line (text “Home” to 741-741). If you are concerned about the wellbeing of another Stevens student, and the matter is not urgent or time sensitive, please email the CARE Team at care@stevens.edu. A member of the CARE Team will respond to your concern as soon as possible.

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Deep Learning course taught in Electrical and Computer Engineering at Stevens Institute of Technology

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