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University course syllabus outlining content, schedule, evaluation structure, academic integrity rules, and assessment requirements for a Fall 2023 graduate-level Machine Learning and Neural Networks class.
Course Number:
COMP-5011-FA
Course Name:
Machine Learning and Neural Networks
Instructor:
Dr. Saad Bin Ahmed
Office Location:
AT5020
Email:
[email protected]
Office Hours:
Wednesday 11:00am - 1:00pm
Teaching Assistant:
To be defined
Course Delivery:
Lectures, MyCourseLink/D2L
Room and Time:
RB3024, Tuesday and Thursday at 1:00PM - 2:30PM
Final Date to Withdraw (Drop):
Friday, November 3, 2023
Final Day of Classes:
Monday, December 4, 2023
Fall Study Week:
October 09–13, 2023
Prerequisites:
Probability, Discrete Mathematics, Python programming
Tools:
Python, OpenCV, numpy, pandas, matplotlib
Assessment Components:
2 assignments (5% each), Course Project (30%), Midterm Exam (20%), Final Exam (40%)
Passing Requirement:
Minimum 60% overall with at least 55% weighted average on exams and assignments
Academic Policy:
Lakehead University Student Code of Conduct – Academic Integrity
Assignment Policy:
Individual work; zero tolerance for plagiarism; similarity check required
Late Policy:
Penalty formula [2.5^i] up to 4 days; extensions granted by instructor only
Price: 8 / 10 USD
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Year:
2018
Region / City:
Ljubljana, SI
Topic:
Neural Network Compression
Document Type:
Call for Evidence
Organization:
ISO/IEC JTC1/SC29/WG11
Author:
MPEG
Target Audience:
Researchers, Developers, Contributors in Multimedia and Data Analytics
Period of Validity:
July 2018 – October 2018
Approval Date:
July 2018
Date of Changes:
N/A
Year:
2019
Region / city:
Brussels
Topic:
Neuroscience, cognitive science
Document Type:
Proposal template
Organization:
Human Brain Project
Author:
Unknown
Target Audience:
Applicants, all interested
Period of Action:
2019
Approval Date:
24.10.2019
Amendment Date:
None
Year:
2014
Region / City:
N/A
Topic:
Molecular biology, Tooth development, Neural crest
Document type:
Review article
Institution:
N/A
Author:
Jayasekharan VP, Jacob Kurien, Eapen Cherian, Renji K Paul, Aravind S Raju
Target audience:
Researchers, biologists, clinicians
Period of validity:
N/A
Approval date:
N/A
Date of changes:
N/A
Year:
2026
Region / City:
Shanghai, China
Topic:
Metasurfaces, Holography, Neural Networks
Document Type:
Research Paper
Organization / Institution:
Shanghai Jiao Tong University
Author:
Wei Wei, Ping Tang, Jingzhu Shao, Jiang Zhu, Xiangyu Zhao, Chongzhao Wu
Target Audience:
Researchers, Scientists
Period of Validity:
N/A
Date of Approval:
N/A
Date of Changes:
N/A
Document Type:
Supplementary Information
Related Study Title:
Organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways
Authors:
Giovanni Maria Matrone; Eveline R.W. van Doremaele; Sophie Griggs; Gang Ye; Iain McCulloch; Francesca Santoro; Yoeri van de Burgt
Institutions:
Eindhoven University of Technology; University of Oxford; Shenzhen University; King Abdullah University of Science and Technology (KAUST); Istituto Italiano di Tecnologia; RWTH Aachen; Forschungszentrum Juelich
Sections:
Supplementary Discussion 1: Spiking circuit; Supplementary Discussion 2: Sensory coding with pressure sensor
Materials:
P-3O OECT; PEDOT:PSS OECT; p(C4-T2-C0-EG) OECT
Components:
Capacitor; Resistor (330 kOhm); Inverter pairs; Force sensor (Grove-Round Force Sensor, FSR402)
Voltage Range Examined:
0.3–0.6 V
Frequency Range Observed:
0.14–0.35 Hz
Figures Included:
Supplementary Figures 1–11
Tables Included:
Table 1; Table 2
Experimental Focus:
Voltage-dependent spiking behavior and pressure-induced sensory coding
Year:
2026
Region / City:
Not specified
Topic:
Neuroscience, Neural State Space, Visual Stimuli
Document Type:
Supplementary Materials
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers in neuroscience and related fields
Period of Effect:
Not specified
Date of Approval:
Not specified
Date of Changes:
Not specified
Year:
2024
Region / City:
Global
Topic:
Cybersecurity, Network Intrusion Detection
Document Type:
Research Article
Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, Cybersecurity Professionals
Period of Action:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2016
Region / City:
Unknown
Topic:
Medical research, Pediatric Intensive Care Unit (PICU), mortality prediction
Document Type:
Research article
Organization / Institution:
Unspecified
Author:
M. Aczon, D. Ledbetter, E. Laksana, L. Ho, R. Wetzel
Target Audience:
Medical researchers, healthcare professionals
Period of Validity:
2016 onwards
Approval Date:
Unknown
Date of Changes:
Unknown
Year:
2026
Institution:
School of Pharmaceutical Sciences, Sun Yat-sen University, Shenzhen Campus
Authors:
Jing Li, Hong Gao, Yue Xiong, Ling Wang, Haojie Zhang, Fumei He, Jingxin Zhao, Shuna Liu, Liqian Gao, Ying Guo, Wenbin Deng
Correspondence:
Ying Guo, Wenbin Deng
Document type:
Supplementary information
Subject area:
Regenerative medicine, wound healing, neural stem cells, exosomes
Data content:
Proteomic analysis of NSC-derived exosomes, immunofluorescence quantification of Gap43 in skin sections
Target organism:
Homo sapiens
Methodology:
Protein identification and quantification, immunofluorescence microscopy
Figures and tables:
Table S1 (top 100 abundant proteins in NSC-exo), Figure S1 (quantitative analysis of Gap43)
Keywords:
Cutaneous wound healing, NSC-exosomes, proteomics, Gap43
Year:
2026
Region:
Korean Peninsula
Subject:
Oceanography, Marine Forecasting
Document type:
Research article
Institution:
Inha University, University of Rhode Island, Korea Hydrographic and Oceanographic Agency
Authors:
Jae-Hun Park, Ho-Jeong Ju, Jeong-Yeob Chae, Young Taeg Kim, Min-su Kim
Target audience:
Oceanographers, Marine researchers, Data scientists
Methodology:
Artificial neural networks, 3-D convolutional neural networks, 3-D U-Net structure
Data sources:
Oceanic and atmospheric variables
Purpose:
Sea surface current prediction, Near-real-time ocean forecasting
Validation:
Various input configurations tested for model optimization
Year:
2023
Region / City:
Aurangabad District, Maharashtra
Subject:
Potential Evapotranspiration Forecasting
Document Type:
Research Article
Author:
Not specified
Target Audience:
Researchers, Hydrologists, Water Resource Managers
Period of Study:
1970–2023
Date of Approval:
Not specified
Date of Modifications:
Not specified
Keywords:
PET Forecasting, ANN, Thornthwaite Method, Water Resource Management
Year:
2026
Institution:
George Washington University, Singapore University of Technology and Design, ICFO - Institut de Ciencies Fotoniques, Aarhus University
Field:
Photonics, Optical Neural Networks, Phase-Change Materials
Document Type:
Supplementary Material
Authors:
Ting Yu Teo, Xiaoxuan Ma, Ernest Pastor, Hao Wang, Jonathan K. George, Joel K. W. Yang, Simon Wall, Mario Miscuglio, Robert E. Simpson, Volker J. Sorger
Corresponding Authors:
[email protected], [email protected], [email protected]
Techniques:
Reflectivity measurements, Pump-probe femtosecond switching, Maxwell simulations, Finite element modeling
Materials:
Ge2Sb2Te5, Sb2S3, AlN, Si, SiN, Diamond
Parameters Measured:
Phase transition temperature, neff, α, Q factor, Extinction Ratio, Heat capacity, Density
Period Covered:
Experiment and simulation data relevant to phase-change optical devices
Laser Fluence Range:
0–11.4 mJ/cm²
Author:
Wenyu Wan
Field:
Neuroscience
Research Topic:
Neural processing of temporal patterns in real-world behavior
Behavioral Context:
Smartphone interaction
Methodological Approach:
Combination of smartphone behavioral data and EEG recordings
Key Neural Phenomena:
Somatosensory temporal integration; cortex-wide neural alignment; beta bursts
Analytical Methods:
Dimensionality reduction of neural-behavioral data
Type of Document:
Research propositions
Data Context:
Naturalistic human behavior
Subject:
Temporal dynamics of behavior and neural activity
Research Perspective:
Naturalistic neuroscience
Year:
2021
Region / City:
Global
Topic:
Tomato disease classification, artificial intelligence, deep learning, convolutional neural networks
Document Type:
Research article
Author:
Unspecified
Target Audience:
Researchers, practitioners in machine learning and agriculture
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
Not specified
Region / Country:
Not specified
Academic Field:
Biomedical Engineering
Research Area:
Stem Cell Bioprocess Engineering
Keywords:
Suspension Bioreactor, Neural Stem Cells, Shear Stress, Differentiation, Mesenchymal Stem Cells
Document Type:
Academic Project Final Report
Course:
BEE 4530 Computer-Aided Engineering: Applications to Biomedical Processes
Authors:
Dustin Steinhagen; Gabrielle Ravelo; Sophia He
Institution:
Not specified
Software Used:
COMSOL Multiphysics
Main Methods:
Fluid flow modeling using Navier–Stokes equations and Darcy flow; sensitivity analysis
Biological Focus:
Mesenchymal stem cells and neural stem cell differentiation
Application Context:
Bioreactor design for therapeutic-scale stem cell production
Sections Included:
Executive Summary; Introduction; Literature Review; Problem Formulation; Governing Equations; Numerical Implementation; Results; Validation; Discussion; Appendix
Target Audience:
Students and researchers in biomedical and bioprocess engineering
Year:
Not provided
Region / City:
Not specified
Topic:
Research ethics, manuscript submission
Document type:
Template
Author:
Not specified
Target audience:
Authors submitting research articles
Period of validity:
Not provided
Approval date:
Not specified
Date of changes:
Not specified
Supplementary material for radiomic analysis of MRI sequences using various machine learning methods
Year:
2023
Region / city:
Not specified
Theme:
Radiomics, MRI sequences, machine learning
Document type:
Research Supplement
Author:
Not specified
Target audience:
Researchers, medical professionals
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Year:
Not applicable
Region / City:
Not applicable
Subject:
Research ethics and manuscript submission
Document Type:
Submission Template
Organization / Institution:
Not applicable
Author:
Not applicable
Target Audience:
Researchers, Authors submitting manuscripts
Period of validity:
Not applicable
Approval Date:
Not applicable
Date of Changes:
Not applicable
Year:
2026
Region / City:
Kaneohe, HI
Topic:
Procurement
Document Type:
Request for Quotes (RFQ)
Agency / Organization:
Hawaii State Hospital
Author:
Hawaii State Hospital
Target Audience:
Vendors
Effective Period:
Until contract award
Approval Date:
N/A
Amendment Date:
N/A
Year:
2011
Region / City:
England, Northern Ireland, Wales
Topic:
Manufacturing technologies
Document Type:
Occupational Qualification
Institution:
GQA Qualifications Ltd
Target Audience:
Individuals working as machine operatives in printing industries
Period of Validity:
Not specified
Approval Date:
01-Feb-2011
Modification Date:
Not specified
Qualification Structure:
5 mandatory units, optional units
Qualification Achievement:
Total credits: 32, minimum of 7 credits from optional units
Applicable Age Ranges:
16-18, 19+
Qualification Assessment:
E-assessment, Portfolio of Evidence