TA:
Grader:
We will rely on Slack for asynchronous communication. Please use this link to sign up for the class Slack. You can use Slack for discussions between yourselves and to ask questions of me or the TA. If you want to ensure that I see your post, please use @oates in it so that I get a notification. Most discussions tend to take place in the general channel, but feel free to ask me to create other channels.
The weights on the various items are as follows:
Grades will be assigned as follows based on your class average:
All assignments will be submitted to the TA via slack.
Once the late days are used, a penalty of 33% will be imposed for each day (or fraction thereof) an assignment is late (33% for one day, 66% for two, 100% for three or more). An assignment is late by one day if it is not turned in by 11:59PM Eastern on the day that it is due. It is late by two days if I do not have it by 11:59PM Eastern the following day, and so on. It is your responsibility to keep track of how many late days you have used.
I will actively monitor all student work, as will the TA, for instances of academic misconduct. The penalty for any such misconduct on the first instance can be a zero on the assignment, depending on the severity. The penalty for the second instance can be an F in the class, depending on the severity.
Accommodations for students with disabilities are provided for all students with a qualified disability under the Americans with Disabilities Act (ADA & ADAAA) and Section 504 of the Rehabilitation Act who request and are eligible for accommodations. The Office of Student Disability Services (SDS) is the UMBC department designated to coordinate accommodations that creates equal access for students when barriers to participation exist in University courses, programs, or activities.
If you have a documented disability and need to request academic accommodations in your courses, please refer to the SDS website at sds.umbc.edu for registration information and office procedures.
SDS email: disAbility@umbc.edu
SDS phone: 410-455-2459
If you will be using SDS approved accommodations in this class, please contact the instructor to discuss implementation of the accommodations. During remote instruction requirements due to COVID, communication and flexibility will be essential for success.
UMBC Policy and Federal law (Title IX) prohibit discrimination and harassment on the basis of sex, sexual orientation, and gender identity in University programs and activities. Any student who is impacted by sexual harassment, sexual assault, domestic violence, dating violence, stalking, sexual exploitation, gender discrimination, pregnancy discrimination, gender-based harassment or retaliation should contact the University’s Title IX Coordinator to make a report and/or access support and resources:
Jackie Moran, Title IX Coordinator and Interim Director
410-455-1717, jmoran5@umbc.edu
You can access support and resources even if you do not want to take any further action. You will not be forced to file a formal complaint or police report. Please be aware that the University may take action on its own if essential to protect the safety of the community.
If you are interested in or thinking about making a report, please use the Online Reporting/Referral Form. Please note that, if you report anonymously, the University’s ability to respond will be limited.
Notice that Faculty are Responsible Employees with Mandatory Reporting Obligations:
All faculty members are considered Responsible Employees, per UMBC’s Policy on Sexual Misconduct, Sexual Harassment, and Gender Discrimination. Faculty are therefore required to report any/ all available information regarding conduct falling under the Policy and violations of the Policy to the Title IX Coordinator, even if a student discloses an experience that occurred before attending UMBC and/or an incident that only involves people not affiliated with UMBC. Reports are required regardless of the amount of detail provided and even in instances where support has already been offered or received.
While faculty members want encourage you to share information related to your life experiences through discussion and written work, students should understand that faculty are required to report past and present sexual assault, domestic and interpersonal violence, stalking, and gender discrimination that is shared with them to the Title IX Coordinator so that the University can inform students of their rights, resources and support. While you are encouraged to do so, you are not obligated to respond to outreach conducted as a result of a report to the Title IX Coordinator.
If you need to speak with someone in confidence, who does not have an obligation to report to the Title IX Coordinator, UMBC has a number of Confidential Resources available to support you:
Other Resources:
Please note that Maryland law and UMBC policy require that faculty report all disclosures or suspicions of child abuse or neglect to the Department of Social Services and/or the police even if the person who experienced the abuse or neglect is now over 18.
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1 | Mon 30 Jan | Course overview. What is machine learning? | Read Chapter 1 of my book |
2 | Wed 01 Feb | Loss functions, gradient descent | Read Chapter 2 of my book |
3 | Mon 06 Feb | Perceptrons | Homework 1 in HTML and Jupyter form |
4 | Wed 08 Feb | Geometry of hyperplanes | |
5 | Mon 13 Feb | Decision trees (slides, reading) (chapter 3.1 - 3.4, 3.7) | Homework 1 due; Homework 2 out |
6 | Wed 15 Feb | Logistic regression | Slides |
7 | Mon 20 Feb | Clustering | Slides |
8 | Wed 22 Feb | Nearest neighbors | CIML chapter 3 through 3.4 |
9 | Mon 27 Feb | Methodology | Slides Homework 2 due; Homework 3 out, mushroom data |
10 | Wed 01 Mar | More methodology | |
11 | Mon 06 Mar | Reinforcement learning | Chapter 3 and 6.5 of the RL Book |
12 | Wed 08 Mar | More reinforcement learning | |
13 | Mon 13 Mar | A little more reinforcement learning | Homework 3 due |
14 | Wed 15 Mar | Kernel methods | Slides |
Mon 21 Mar | Spring Break | ||
Wed 22 Mar | Spring Break | ||
15 | Mon 27 Mar | Support vector machines | Homework 4 out |
16 | Wed 29 Mar | Midterm review | |
17 | Mon 03 Apr | Midterm Exam on content of classes 1 - 14 | |
18 | Wed 05 Apr | Support vector machines | Homework 4 due |
19 | Mon 10 Apr | Neural networks (Slides) | Homework 5 out |
20 | Wed 12 Apr | More NNs | |
21 | Mon 17 Apr | Convolutional neural networks | Slides |
22 | Wed 19 Apr | More CNNs | Homework 5 due; Homework 6 out |
23 | Mon 24 Apr | Recurrent neural networks | Slides |
24 | Wed 26 Apr | More RNNs | |
25 | Mon 01 May | Graphical models | |
26 | Wed 03 May | Bayes nets (Slides) | Homework 6 due; Homework 7 out |
27 | Mon 08 May | Expectation maximization | Slides |
28 | Wed 10 May | Dimensionality reduction | |
29 | Mon 15 May | Final exam review | Homework 7 due |
Fri 19 May | Final Exam 10:30AM - 12:30PM |