Sept Grad

**NOTICE OF POSTING**

For Sessional Faculty

**Course Name**: SEP786/787 Artificial Intelligence and Machine Learning Fundamentals/Machine Learning : Classification Models

**Term**: Term 1, Fall 2023: September 5 - December 6, 2023

**Sections Available**: SEP 786 - C02 : SEP 787 C02

**Units per Section**: 1.5 per section

**Projected Enrollment**: N/A

**Projected TA Support**: N/A

**Wage Rate**: SEP 786 C02 - $4,362 : SEP 787 C02 - $4,362

**Start Time and Duration**: SEP 786 C02 - Tuesday 6:30-9:30pm : SEP 787 C02 - Tuesday 6:30-9:30pm

**Course Description/Relevant Employment Duties**

Solving Problems using AI: Searching, optimization, online search agents. Constraint satisfaction.
Knowledge, Reasoning and Planning: Logic and Inference, Planning and Acting, Knowledge Representation. Knowledge and Reasoning with Uncertainty. Machine learning problems, training and testing, overfitting.
Modelling strategies: data preprocessing, overfitting and model tuning. Measuring predictor importance. Factors that Can Affect Model Performance. Feature selection. Measuring performance of classification models.

Discriminant analysis and other linear classification. Linear Support Vector Machine. Nonlinear classification models. Classification Trees and Rule based models. Remedies for severe class imbalance.

REQUIRED:
1. PhD and MBA or equivalent

2. Extensive Leadership Experience

3. Significant experience coaching founders of technology companies

**Preferred Qualifications**

1. PhD

2. Prior Teaching Experience
- Supplemented Fees
- 15.02(a) The employee may be eligible to receive supplemented fees in accordance with Schedule C of the Collective Agreement. The actual rate of pay when in excess of the base rate of pay is deemed to include any supplemented fees owing, to the extent of the excess amount. If the actual rate of pay is less than the sum of the base rate of pay and the supplemented fees owing, then the employee shall receive the difference.

**Application Procedure**

Please submit the following through the Mosaic Portal as indicated in Mosaic:
2. A resume listing your academic qualifications and relevant employment experience.

3. or current or previous McMaster sessional faculty, information necessary to determine your current and aggregate seniority (as defined by Article 20 of the Unit 2 Collective Agreement). Questions may be directed to CUPE 3906 (905-525-9140 Ext. 24056).

4. Names and contact information of two references

If you require this information in an alternate/accessible format, please contact Nina Bovair, Employee/Labour Relations Administrator at extension 23850.istrator at extension 23850.

**Employment Equity Statement**

McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations and, within the lands protected by the “Dish with One Spoon” wampum agreement.

**Vaccination Policy Statement**

The University is committed to providing and maintaining healthy and safe working and learning environments for all employees, students, volunteers and visitors. The University’s Vaccination Policy-COVID-19 Requirements for Employees and Students (the “Vaccination Policy”), requires all McMaster community members, including employees, accessing a McMaster campus or facility in person to be fully vaccinated or to have received an exemption from the University for a valid human rights ground. While the Vaccination Policy is currently paused, it may resume quickly and on short notice, as informed by public health advice and direction. Should it become necessary in future to resume the Policy, all community members will need to demonstrate compliance at that time. Successful applicants in those positions that work in host hospitals or other healthcare sites that have active vaccination mandates in place will need to comply with these and any other health and safety measures necessary as part of their appointment. The University will continue to follow the guidance of public health organizations to define fully vaccinated status.