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<p><meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=5.0, user-scalable=yes" />
<title>ACCY 576: Data Preparation for Accounting</title>
</p>
<div role="main">
<h1 id="a11">ACCY 577: Machine Learning for Accounting</h1>
<ul>
<li><a href="#a1">Course Description</a></li>
<li><a href="#a2">Goals, Objectives, and Topics</a></li>
<li><a href="#a3">Materials</a></li>
<li><a href="#a4">Elements of the Course</a></li>
<li><a href="#a5">Assignments, Exams, and Grading</a></li>
<li><a href="#a6">Communication</a></li>
<li><a href="#a7">University Honor Code</a></li>
<li><a href="#a8">Disability Resources and Educational Services</a></li>
</ul>
<h2 id="a1">Course Description</h2>
</div>
<p data-key="494"><span data-key="495"><span data-offset-key="495:0">This course introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, and time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business-related datasets with Python to solve various problems. </span></span></p>
<p>ACCY576, Data Preparation for Accounting is a prerequisite for this course. This course is running on the same platform (Jupyter Notebook) as that of ACCY576 . While ACCY576 covers data understanding and data preparation in the data analytics process, ACCY577 covers the next two steps in the process, modeling and model evaluation. Upon completion of ACCY576 and ACCY577, students should be able to complete an entire data analytics process with Python.</p>
<div role="main">
<h2 id="a2">Goals, Objectives, and Topics</h2>
<p>Upon successful completion of this course, you will be able to</p>
<ul>
<li>understand the concept of various machine learning algorithms.</li>
<li>apply machine learning models on datasets with Python.</li>
<li>understand model evaluation metrics.</li>
<li>optimize machine learning models.</li>
</ul>
<h3>Topics</h3>
<ul>
<li>Module 1: Introduction to Machine Learning</li>
<li>Module 2: Fundamental Algorithms I</li>
<li>Module 3: Fundamental Algorithms II</li>
<li>Module 4: Model Evaluation</li>
<li>Module 5: Model Optimization</li>
<li>Module 6: Introduction to Text Analysis</li>
<li>Module 7: Introduction to Clustering</li>
<li>Module 8: Introduction to Time Series Data</li>
</ul>
<h2 id="a3">Materials</h2>
<h3>Textbook</h3>
<p>There is no required textbook. The lesson contents are created in Jupyter Notebooks.</p>
<h3>Readings</h3>
<p>There is no required readings other than the lesson notebooks.</p>
<p><a href="#a11" style="font-size: 13px;">(Back to Top)</a></p>
<h2 id="a4">Elements of the Course</h2>
<p>This University of Illinois course for graduate credit or academic credit will be conducted through two platforms: (1) the <a href="https://compass2g.illinois.edu/" target="_blank">Illinois Compass 2g course management system</a>, which will be your main point of contact, and (2) the Coursera Massive Open Online Course (MOOC) platform where you will need to register and complete one MOOC brought to you by the University of Illinois. The Coursera MOOC is titled <a href="https://www.coursera.org/learn/machine-learning-accounting-python/home/welcome" target="_blank">Machine Learning for Accounting with Python</a>.</p>
<h3>Live Sessions</h3>
<ul>
<li>Tuesdays, 8:30 AM–10:00 AM and 8:15 PM–9:45 PM US Central Time
<ul>
<li>These sessions are designed to mainly discuss cases, readings, and assignments from just completed module(s) and to preview the same from immediately upcoming module(s)</li>
<li><strong><span style="background-color: #ffff00;">Note: there is NO live session for module 1</span></strong></li>
<li><strong><span style="background-color: #ffff00;">Starting April 6, participants need to enter the password "gies" (lower case) when entering the live sessions.</span></strong></li>
</ul>
</li>
<li>In order to get more value from this course, try to fit these live sessions into your schedule and participate</li>
<li>Live sessions will be recorded, and the recordings will generally be available within one hour after the last live session concludes</li>
<li>Attendance in the Live Sessions is strongly recommended. You are responsible for the content covered during the live session. If you are unable to attend, you must watch the recoding.</li>
</ul>
<h3>Office Hours</h3>
<ul>
<li>Fridays 6:00 to 7:00 PM US Central Time and by appointment</li>
<li>Saturdays 10:00 to 11:00 AM US Central Time and by appointment</li>
<li><strong><span style="background-color: #ffff00;">There is NO office hour for module 1</span></strong></li>
<li><strong><span style="background-color: #ffff00;">Starting April 6, participants need to enter the password "gies" (lower case) when entering the office hours.</span></strong></li>
<li>The office hours provide students an additional opportunity to log in and ask questions, and thus, they serve as an additional resource to the discussion forums.</li>
<li>These times will be open and informal for student questions and will not be recorded.</li>
</ul>
<p><a href="#a11">(Back to Top)</a></p>
<h2 id="a5">Assignments, Exams, and Grading</h2>
<h3>Assignment and Exam Information</h3>
<ul>
<ul>
<li><strong>Live Session Quizzes </strong>There will be a short quiz for every live session. These quizzes assess your understanding of the Coursera material as well as ask for your opinions. We will use the quiz results to guide the live session discussions. Even if you're not able to attend either of the live sessions, you still need to finish the quiz. The quiz questions are short essay questions. As long as you finish the quizzes before the deadline you will get full credit for the quizzes. But it is highly recommended that you finish the live session quizzes before the corresponding live sessions so that we can discuss them during live session.</li>
<li><strong>HE (High Engagement) Programming Assignment </strong>These programming assignments (based on Jupyter Notebooks) are similar to and an extension of the Jupyter Notebook assignments that are posted on Coursera. Specifically, you will be asked to perform a greater number of coding tasks that require more thought than the tasks in the Jupyter Notebook assignments on Coursera. It is intended that you complete these notebook assignments after having completed the module's Coursera material and after either attending the live session or viewing the live session recording and before the deadline.</li>
<li><strong>Final Project (Group-based)</strong> The final project will give you an opportunity to go through the CRISP-DM framework for analyzing financial data in Python. You will be given a dataset and will be asked to perform a number of tasks associated with understanding, preparing the data, creating, evaluating and optimizing machine learning models, providing data-driven recommendations. The final project is a group project. Each group needs to submit a Juypter notebook report and a video presentation. This final project will be made available during the week of Module 4.</li>
<li><strong>Teammate Evaluation </strong>You will need to submit a teammate evaluation for the final project. You will receive 20 points as long as you submit the evaluation before the deadline, which is the same as the final project. Your final project grade will be adjusted based on the evaluations of your teammates. The teammate evaluation will be made available during the week of Module 7.</li>
</ul>
</ul>
<p></p>
<h3>Grading</h3>
<p>In order to pass this for-credit course, you <strong>MUST</strong> pass <strong>the associated Coursera course with a Course Certificate.</strong><strong> Failure to pass the Coursera MOOC by the indicated deadlines </strong>will result in a final grade of "I" for this for-credit course. Your final grade on this University of Illinois graduate-credit course will be based on the total percentage of points accumulated in the following:</p>
<table border="1"><caption>Grade Distribution</caption>
<tbody>
<tr><th scope="col">Student Performance Components</th><th scope="col">Quantity</th><th scope="col">Module</th><th scope="col">Points</th><th scope="col">Total</th></tr>
<tr>
<td>Live Session Quiz</td>
<td style="text-align: center;">8</td>
<td style="text-align: center;">1-8</td>
<td style="text-align: center;">80 (10/each)</td>
<td style="text-align: center;">8%</td>
</tr>
<tr>
<td>HE Assignments</td>
<td style="text-align: center;">8</td>
<td style="text-align: center;">1-8</td>
<td style="text-align: center;">640 (80/each)</td>
<td style="text-align: center;">64%</td>
</tr>
<tr>
<td>Final Project (group-based)</td>
<td style="text-align: center;">1</td>
<td style="text-align: center;"> </td>
<td style="text-align: center;">260</td>
<td style="text-align: center;">26%</td>
</tr>
<tr>
<td>Teammate Evaluation</td>
<td style="text-align: center;">1</td>
<td style="text-align: center;"> </td>
<td style="text-align: center;">20</td>
<td style="text-align: center;">2%</td>
</tr>
<tr>
<td>Total</td>
<td style="text-align: center;"> </td>
<td style="text-align: center;"> </td>
<td style="text-align: center;">1000</td>
<td style="text-align: center;">100%</td>
</tr>
</tbody>
</table>
<p></p>
<p>If you have further questions about the Grading System at University of Illinois, feel free to refer to the <a href="http://www.grad.illinois.edu/gradhandbook/2/chapter3/grading-system" target="_blank">Graduate College Student Handbook Ch3</a>.</p>
<p>If you have any questions about your grades, please submit your request to <a href="mailto:[email protected]">[email protected]</a>, including your specific grade related questions, and any justification you wish to provide to support your request. You have 48 hours from when the grades are released to submit your questions. After 48 hours grades are considered final. It is important to be aware that your grade might go up, stay the same, or go down during the review process.</p>
<h3>Grading Scale</h3>
<p>Your points will be converted to letter grades based on the tentative schedule below:</p>
<table border="1">
<tbody>
<tr>
<td><strong>Letter Grade</strong></td>
<td><strong>Points</strong></td>
<td><strong>Letter Grade</strong></td>
<td><strong>Points</strong></td>
</tr>
<tr>
<td>A+</td>
<td>970 points or more</td>
<td>C+</td>
<td>770-799</td>
</tr>
<tr>
<td>A</td>
<td>930-969</td>
<td>C</td>
<td>730-769</td>
</tr>
<tr>
<td>A-</td>
<td>900-929</td>
<td>C-</td>
<td>700-729</td>
</tr>
<tr>
<td>B+</td>
<td>870-899</td>
<td>D</td>
<td>600-699</td>
</tr>
<tr>
<td>B</td>
<td>830-869</td>
<td>F</td>
<td>Less than 600 points</td>
</tr>
<tr>
<td>B-</td>
<td>800-829</td>
</tr>
</tbody>
</table>
<p></p>
<h3>Deadlines</h3>
<p style="margin-left: 60px;">Compass Components Deadlines</p>
<table border="1" align="left" style="width: 361px; height: 125px;">
<tbody>
<tr>
<td><strong>Compass Components</strong></td>
<td><strong>Deadline (US Central Time)</strong></td>
</tr>
<tr>
<td>HE Assignments</td>
<td>Sunday 11:59 PM</td>
</tr>
<tr>
<td>Live Session Quizzes</td>
<td>Sunday11:59 PM</td>
</tr>
<tr>
<td>Final Project</td>
<td>Week 8 Sunday 11:59 PM</td>
</tr>
<tr>
<td>Teammate Evaluation</td>
<td>Week 8 Sunday 11:59 PM</td>
</tr>
</tbody>
</table>
<p></p>
<p></p>
<p></p>
<p></p>
<p></p>
<p><span style="font-size: 13px;">Each module starts on Monday and ends on Sunday in the </span>iMSA<span style="font-size: 13px;"> courses.</span></p>
<p>Please pay special attention to the deadlines posted here in Compass2g. These are the hard deadlines for all activities in this Compass course. You will also see deadlines posted in Coursera or in emails from Coursera; those are suggested deadlines that your instructor expects you to follow in order to prepare you for the weekly assignments in the Compass course. These may differ from the deadlines posted in Compass. In cases of mismatch, Compass is the source of truth for all course deadlines. The hard deadline for MOOC assignments is the end of this 8-week Compass2g course. In another word, by the end of this course, you should finish both MOOC assignments and Compass2g assignments by the end of Module 8. </p>
<p>At the start of any course, read and know the course syllabus and note <strong>all deadlines</strong> for assignments, quizzes and final project. The iMSA program has strict rules around deadlines and submissions.</p>
<p><strong>Late submissions of assignments made within one week after the deadline will be accepted with a 25% penalty. Submissions made more than one week after the deadline will not be accepted. Any exceptions will be at the discretion of the program. Faculty will determine the extension deadline for approved exceptions. Once the answer key is posted, late submissions are not accepted for any reason.</strong> When at all possible, requests for an exception should be made <strong>BEFORE</strong> the assignment deadline.</p>
<p>Students who experience a serious extenuating circumstance beyond their control that prevents submission of an assignment or exam may request an exception to this policy by providing documentation of the extenuating circumstance to the online program at <a href="mailto:[email protected]">[email protected]</a>.</p>
<p>Extenuating circumstances that may result in an exception:</p>
<ul>
<li>unforeseen hospitalization of the student or an immediate family member (spouse, child, or parent)</li>
<li>death of an immediate family member</li>
<li>another similar event (natural disaster, etc.)</li>
</ul>
<p>Circumstances that would not warrant an exception includes business travel, minor illnesses, internet access, etc. Such requests will not be granted. We ask you to plan in advance if there is uncertainty in your schedule or course work environment.</p>
<p>For additional information about rules and policies established by the University, please refer to the Student Code at <a href="http://studentcode.illinois.edu/article1/part5/1-501/" title="Student Code" target="_blank">http://studentcode.illinois.edu/article1/part5/1-501/</a></p>
<p><a href="#a11">(Back to Top)</a></p>
<h2 id="a6">Communication</h2>
<p>Please post any questions or comments about course content or course logistics on the Class Q&A discussion forum in Compass2g. This forum can be found in the Course Communication Tools folder and can be accessed using the link in the menu on the left. This forum will be monitored regularly by course support staff. Feel free to respond to the questions and comments posted by your classmates as well. In the forums, do not make postings which reveal the answers to or questions contained within quizzes and exams. <strong>Please do not post your grades or questions related to grades in this forum.</strong></p>
<p>Any questions or comments about the technology tools used in the course should be sent to <a href="mailto:[email protected]">[email protected]</a>. If you are having a technical issue, please provide as many details as possible, including the operating system and browser you are using, and screen shots. In general, it always helps to update operating systems and browsers.</p>
<h2 id="a7">University Honor Code</h2>
<p>Academic integrity and honesty are essential and non-negotiable. It is your duty to not only understand and abide by University guidelines (Read Article I, Part 4: Academic Integrity of the Illinois <a href="http://www.admin.uiuc.edu/policy/code/">Student Code</a> but also to promote a culture of ethical behavior within your group and class. Ignorance is not an excuse for any academic dishonesty. Violations will be handled via Department, School, and University policies.)</p>
<p>According to the University policy, violation of academic integrity is a serious offense. Violations of academic integrity include, but are not limited to the following examples. In the context of all assignments in this course, violating academic integrity is copying of answers from other students or any other source, rather than authoring them. Other violations of academic integrity include sharing or posting online any class assignments, including homework, quizzes, and full exams. Quoting from other sources, including course readings and transcripts, with proper citation is permitted, but that cannot be the entire answer. Quotations may only constitute part of your answer, and must be merely for clarification or documentation purposes. Your answers must show that you have understood the material and can argue the case on your own. Anyone found in violation of academic integrity in this course will be subject to the penalties discussed in the <a href="http://www.admin.uiuc.edu/policy/code/">Student Code</a>. These penalties include, among others, failure for the course or dismissal from the University.</p>
<h2 id="a8">Disability Resources and Educational Services</h2>
<p>To obtain disability-related academic adjustments and/or auxiliary aids, students with disabilities must contact the course instructor and the Disability Resources and Educational Services (DRES) as soon as possible. To contact DRES, you may visit 1208 S. Oak St., Champaign, call 217-333-4603 (V/TDD), or e-mail a message to <a href="mailto:[email protected]">[email protected]</a>.</p>
<p>To ensure that disability-related concerns are properly addressed from the beginning, students with disabilities who require assistance to participate in this class are asked to see the instructor as soon as possible.</p>
<h3>Media Captions</h3>
<p>The Gies media in this course are captioned/transcribed using a machine-based tool. While not perfect, this provides a first step to usable text support for accessibility and keyword search. If you find that a caption or transcript for any video in this course has errors, please let us know. Contact us via email at <a href="mailto: [email protected]" title="captions contact" target="_blank">[email protected]</a>. In that email include the name of the video and the course where the video is used. We are working to make our transcriptions better. Thank you for helping us create a great experience for everyone.</p>
</div>
<h2 id="a8">DISCLOSURES</h2>
<h3>Disability Resources and Educational Services</h3>
<p>To obtain disability-related academic adjustments and/or auxiliary aids, students with disabilities must contact the course instructor and the Disability Resources and Educational Services (DRES) as soon as possible. To contact DRES, you may visit 1208 S. Oak St., Champaign, call 217-333-4603 (V/TDD), or e-mail a message to <a href="mailto:[email protected]">[email protected]</a>.</p>
<p>To ensure that disability-related concerns are properly addressed from the beginning, students with disabilities who require assistance to participate in this class are asked to see the instructor as soon as possible.</p>
<h3>Sexual Misconduct Policy and Reporting</h3>
<p>The University of Illinois is committed to combating sexual misconduct. Faculty and staff members are required to report any instances of sexual misconduct to the University's title IX and Disability Office. In turn, an individual with the Title IX and Disability Office will provide information about rights and options, including accommodations, support services, the campus disciplinary process, and law enforcement options. A list of the designated University employees who, as counselors, confidential advisors, and medical professionals, do not have this reporting responsibility and can maintain confidentiality, can be found here: <a href="http://wecare.illinois.edu/resources/students/#confidential" target="_blank">http://wecare.illinois.edu/resources/students/#confidential</a>. Other information about resources and reporting is available here: <a href="http://wecare.illinois.edu" target="_blank">http://wecare.illinois.edu</a>.</p>
<h3>Building Emergency Procedures</h3>
<p>If you ever attend class virtualy from on campus, the following building procedures apply. In the event of a tornado warning, please seek shelter in the Wohlers Hall basement or the Armory, or in the BIF basement between 8 am and 4:30 pm weekdays (the nearest designated University tornado shelters). If a tornado is imminent, the BIF basement stairwells also can be used on an emergency basis. In the event of a fire in BIF, exit BIF and proceed to 141 Wohlers Hall. In the event of threat from a shooter on campus, lock down the classroom and move to a place of safety within the classroom. If you encounter a suspicious package, do not touch the package; alert campus security, and refrain from cell phone usage until the situation is resolved. More detailed information and action instructions are available in the Building Emergency Action Plan.</p>
<h3>Campus Emergency Statement</h3>
<p>Emergencies can happen anywhere and at any time, so it’s important that we take a minute to prepare for a situation in which our safety could depend on our ability to react quickly. Take a moment to learn the different ways to leave this building. If there’s ever a fire alarm or something like that, you’ll know how to get out and you’ll be able to help others get out. Next, figure out the best place to go in case of severe weather – we’ll need to go to a low-level in the middle of the building, away from windows. And finally, if there’s ever someone trying to hurt us, our best option is to run out of the building. If we cannot do that safely, we’ll want to hide somewhere we can’t be seen, and we’ll have to lock or barricade the door if possible and be as quiet as we can. We will not leave that safe area until we get an Illini-Alert confirming that it’s safe to do so. If we can’t run or hide, we’ll fight back with whatever we can get our hands on. If you want to better prepare yourself for any of these situations, visit <a href="https://police.illinois.edu/emergency-preparedness/run-hide-fight/" target="_blank">police.illinois.edu/safe</a>. Remember you can sign up for emergency text messages at <a href="http://emergency.illinois.edu/" target="_blank">http://emergency.illinois.edu/</a>.</p>
<h3>Academic Integrity</h3>
<p>It is the responsibility of each student to refrain from infractions of academic integrity, from conduct that may lead to suspicion of such infractions, and from conduct that aids others in such infractions. Student Code, Section 1-401, 2018-2019. It is implicit, by virtue of being enrolled in the University and this course, that you have read, understood and accepted University policies and procedures on academic integrity. Student Code, Section 1-401, 2018-2019. Full details on the University’s academic integrity policies and procedures can be accessed at: <a href="http://studentcode.illinois.edu/article1/part4/1-401/" target="_blank">http://studentcode.illinois.edu/article1/part4/1-401/</a>.</p>
<h3>Food/Housing Insecurity Statement</h3>
<p>“Any student who faces challenges securing their food or housing and believes this may affect their performance in the course is urged to contact the Dean of Students for support and alert the course [professor/instructor].”</p>
<p><a href="#a11">(Back to Top)</a></p>