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-ID,Question Text,Answer,Context
-377773,"When Week 7 starts for COS3001 in semester 1, 2022?",18-Apr,Week 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6
-377550,Are the classes recorded?,All sessions or classes will be recorded.,All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
-377774,"When Week 8 starts for COS3001 in semester 1, 2022?",25-Apr,Week 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7
-377554,Are there any penalty for late submission?,Late submissions will result in a penalty.,"Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded. "
-377590,How long are the lectures and tutorials for COS30081 each week?,two hours,The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week.
-377598,How many lecture session are there  in a week?,one lecture session,"There will be two tutorial session available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am. There will be one lecture session on the Tuesday of the week at 9:00 am."
-377600,How many marks will be penalised for each working day of late submission?,10%,"Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded. "
-377602,How many pass tasks are there in COS30081?,10,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377604,How many credit tasks are there?,one,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377605,How many distinction tasks are there?,one,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377606,How many pre-requisite unit are there for COS30081?,two,COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence.
-377632,How to achieve high distinction grade?,"all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it","The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
-377633,How to contact Dr Joel?,through his email which is jcmthan@swinburne.edu.my,The unit teaching staff is Dr Joel Than Chia Ming who is the lecturer and tutor of this unit . He can be contacted through his email which is jcmthan@swinburne.edu.my.
-377682,What is the schedule for Week 9 in COS30081?,Week 9 (2 May) - Transformer basics 2 - Tutorial 9: Transformer 2 and Pass Task #8,Week 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8
-377683,What is the tasks and assessments in Week 10 COS30081?,Tutorial 10: Submission of Tutorial 10 and Pass Task #9,Week 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9
-377684,What is the tasks and assessments in Week 11 COS30081?,Tutorial 11: Discussion of Assignment 2 and Pass Task #10,Week 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10
-377685,What is the tasks and assessments in Week 12 COS30081?,Tutorial 12: Discussion of Assignment 2,Week 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
-377687,What is the tasks and assessments in Week 1 COS30081?,Tutorial 1: Getting Started with Python,Week 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python
-377688,What is the tasks and assessments in Week 2 COS30081?,Tutorial 2: Word Tokenization and Pass Task #1,"Week 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1"
-377690,What is the tasks and assessments in Week 3 COS30081?,Tutorial 3: TF-IDF and Pass Task #2,"Week 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2"
-377692,What is the tasks and assessments in Week 4 COS30081?,Tutorial 4: Semantic Analysis and Pass Task #3,Week 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3
-377693,What is the tasks and assessments in Week 5 COS30081?,Tutorial 5: Deep Learning Introduction and Pass Task #4,"Week 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4"
-377694,What is the tasks and assessments in Week 6 COS30081?,Tutorial 6: Neural Networks & CNN and Pass Task #5,Week 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5
-377697,What is the tasks and assessments in Week 8 COS30081?,Tutorial 8: Transformer 1 and Pass Task #7,Week 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7
-377698,What is the tasks and assessments in Week 7 COS30081?,Tutorial 7: RNN & LSTM and Pass Task #6,Week 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6
-377699,What is the tasks and assessments in Week 9 COS30081?,Tutorial 9: Transformer 2 and Pass Task #8,Week 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8
-377700,What is the topic for COS30081 Week 1?,Introduction to NLP & Linguistics,Week 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python
-377701,What is the topic for COS30081 Week 10?,Performance Evaluation & Scaling up,Week 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9
-377702,What is the topic for COS30081 Week 11?,Showcase of Real-World Problems,Week 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10
-377703,What is the topic for COS30081 Week 12?,Conclusion and Wrap Up,Week 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
-377704,What is the topic for COS30081 Week 2?,"Word Tokenization: Dot product, Token improvement, Vocabulary","Week 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1"
-377705,What is the topic for COS30081 Week 3?,"TF-IDF vectors: Bag of words, Vectorization, Topic modelling","Week 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2"
-377706,What is the topic for COS30081 Week 4?,Semantic Analysis: LSA,Week 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3
-377707,What is the topic for COS30081 Week 5?,"Introduction to Deep Learning for NLP: Neural network, Word Vectors","Week 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4"
-377709,What is the topic for COS30081 Week 6?,CNN basics and usage for NLP,Week 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5
-377710,What is the topic for COS30081 Week 7?,RNN & LSTM basics,Week 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6
-377712,What is the topic for COS30081 Week 8?,Transformer basics 1,Week 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7
-377714,What is the topic for COS30081 Week 9?,Transformer basics 2,Week 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8
-377610,How many Swinburne Graduate Attributes will be developed in COS30081?,3,"This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies."
-377614,How many tutorial sessions are there in a week?,two,"There will be two tutorial session available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am. There will be one lecture session on the Tuesday of the week at 9:00 am."
-377616,How many unit learning outcome are there in COS30081?,4,"The unit has 4 unit learning outcomes (ULO) which are explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks."
-377621,How many unit teaching staff are there in COS30081?,one,The unit teaching staff is Dr Joel Than Chia Ming who is the lecturer and tutor of this unit . He is the only unit teaching staff for this unit. 
-377715,What is the total contact hours?,48 hours,COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours.
-377717,What is the unit code of Fundamentals of Natural Language Processing?,COS30081,COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours.
-377718,What is the unit name of COS30081?,Fundamentals of Natural Language Processing (FNLP),COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours.
-377778,Where to access the recordings for the sessions?,Canvas,All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
-377785,Who is Dr Joel Than Chia Ming?,the lecturer and tutor of this unit,The unit teaching staff is Dr Joel Than Chia Ming who is the lecturer and tutor of this unit . He is the only unit teaching staff for this unit. 
-377788,Who is the lecturer for COS30081?,Dr Joel Than Chia Ming,The unit teaching staff is Dr Joel Than Chia Ming who is the lecturer and tutor of this unit . He is the only unit teaching staff for this unit. 
-377789,Who is the tutor for COS30081?,Dr Joel Than Chia Ming,The unit teaching staff is Dr Joel Than Chia Ming who is the lecturer and tutor of this unit . He is the only unit teaching staff for this unit. 
-377720,What is the weighting of distinction and high distinction portfolio?,100% Weighting,The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting.
-377721,What is the weighting of pass and credit portfolio?,100% Weighting,The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting.
-377723,What kind of unit is COS30081?,portfolio unit,The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments. 
-377725,What Swinburne Graduate Attributes will be developed in students for COS30081?,"communication skills, teamwork skills, and digital literacies","This unit may contribute to the development of 3 Swinburne Graduate Attributes which are communication skills, teamwork skills, and digital literacies."
-377727,What time is the hybrid tutorial session starting?,9:00 am,"There will be two tutorial session available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am. There will be one lecture session on the Tuesday of the week at 9:00 am."
-377728,What time is the lecture session starting?,9:00 am,"There will be two tutorial session available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am. There will be one lecture session on the Tuesday of the week at 9:00 am."
-377730,What time is the online tutorial session starting?,11:00 am,"There will be two tutorial session available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am. There will be one lecture session on the Tuesday of the week at 9:00 am."
-377733,What will the students learn in COS30081?,"equips students with skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results. This unit also exposes students to an advanced NLP technique.","The aim of the unit is to introduce students to the essential natural language processing (NLP) tasks and techniques. Students will learn skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results. This unit also exposes students to an advanced NLP technique. "
-377735,When are the pass tasks due?,due two weeks after its release,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377739,When are the pass tasks released?,released at the start of each week,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377744,When is the credit task due?,6 May,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377747,When is the credit task released?,8 April,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377749,When is the D & HD task due?,3 June,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377751,When is the D & HD task released?,9 May,There will be a total of 10 pass tasks. Each pass task is released at the start of each week and is due two weeks after its release. There will be one Credit task which will be made available on 8 April and due on 6 May. There will be one D & HD task for Distinction and High Distinction (D & HD) grade which will be made available on 9 May and due on 3 June.
-377755,When is the hybrid tutorial class?,on the Monday of the week at 9:00 am.,"There will be two tutorial session available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am. There will be one lecture session on the Tuesday of the week at 9:00 am."
-377758,When is the lecture session?,on the Tuesday of the week at 9:00 am,"There will be two tutorial session available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am. There will be one lecture session on the Tuesday of the week at 9:00 am."
-377759,When is the online tutorial session?,on the Thursday of the week at 11:00 am,"There will be two tutorial session available each week with one hybrid session and one online session. The hybrid tutorial is on the Monday of the week at 9:00 am. whereas, the online session is on the Thursday of the week at 11:00 am. There will be one lecture session on the Tuesday of the week at 9:00 am."
-377761,"When Week 10 starts for COS3001 in semester 1, 2022?",9 May,Week 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9
-377762,"When Week 11 starts for COS3001 in semester 1, 2022?",16 May,Week 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10
-377763,"When Week 12 starts for COS3001 in semester 1, 2022?",23 May,Week 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
-377764,"When Week 1 starts for COS3001 in semester 1, 2022?",28 Febraury,Week 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python
-377765,"When Week 2 starts for COS3001 in semester 1, 2022?",7 March,"Week 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1"
-377767,"When Week 3 starts for COS3001 in semester 1, 2022?",14 March,"Week 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2"
-377769,"When Week 4 starts for COS3001 in semester 1, 2022?",21 March,Week 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3
-377770,"When Week 5 starts for COS3001 in semester 1, 2022?",28 March,"Week 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4"
-377772,"When Week 6 starts for COS3001 in semester 1, 2022?",4 April,Week 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5
-377634,How will the unit be delivered?,blended mode - physical and online,The unit is delivered in blended mode - physical and online. The unit is a portfolio unit which means the assesments are consist of lab tasks and assignments. 
-377641,What are the assessments in COS30081?,Portfolio (for Pass and Credit) and Portfolio and Interview (for Distinction and High Distinction),The assessments for this unit are Portfolio (for Pass and Credit) which is an individual task with 100% Weighting and Portfolio and Interview (for Distinction and High Distinction) which is an individual task with 100% Weighting.
-377643,What are the pre-requisite units for COS30081?,COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence,COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence.
-377651,What are the unit learning outcomes in COS30081?,"explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks","The unit has 4 unit learning outcomes (ULO) which are explain the basics of computational linguistics, prepare textual data into suitable representation for text analytics, apply exploratory data analysis and visualisation techniques to textual data, and develop and evaluate text classifiers for general natural language processing tasks."
-377653,What is COS0081?,Artificial Intelligence major unit,COS30081 is an Artificial Intelligence major unit. The unit name is Fundamentals of Natural Language Processing (FNLP). Its unit code is COS30081. The unit has a total contact hours of 48 hours. It has two pre-requisite units which are COS20015 Fundamentals of Data Management and COS30019 Introduction to Artificial Intelligence.
-377655,What is Dr Joel's email?,jcmthan@swinburne.edu.my,The unit teaching staff is Dr Joel Than Chia Ming who is the lecturer and tutor of this unit . He is the only unit teaching staff for this unit. He can be contacted through his email which is jcmthan@swinburne.edu.my.
-377657,What is the aim of COS30081?,to introduce students to the essential natural language processing (NLP) tasks and techniques,"The aim of the unit is to introduce students to the essential natural language processing (NLP) tasks and techniques. Students will learn skills to carry out basic text data pre-processing, feature extraction, building and evaluating a text classifier, and visualising NLP results. This unit also exposes students to an advanced NLP technique. "
-377658,"What is the content of COS30081?
-","basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis","The unit's content are basic string analysis techniques, text wrangling, web scrapping and pre-processing, feature extraction, text classifiers information retreival evaluation, visualisation and advanced NLP technique, which may include only one of the following topics: topic modelling, text summarization, vector representation, deep learning, or sentiment analysis."
-377659,What is the learning and teaching structure like for COS30081?,consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week,The learning and teaching structure of the unit consist of two parts which are lectures and tutorials of 24 hours of total contact hours each with two hours each of contact per week. 
-377660,What is the mark after 5 working days of late submission?,zero,"Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded."
-377661,What is the maximum days to submit late?,maximum of 5 days,"Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded."
-377662,What is the minimum mark to achieve in D & HD task to get D grade?,70 marks,"The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
-377663,What is the minimum mark to achieve in D & HD task to get HD grade?,80 marks,"The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
-377664,What is the minimum requirement to pass the unit?,"submit a passable portfolio, which means all pass tasks must be submitted and marked as complete","The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
-377666,What is the penalty for late submission?,"10% of your mark for each working day the task is late, up to a maximum of 5 days","Unless an extension has been approved, late submissions will result in a penalty. You will be penalised 10% of your mark for each working day the task is late, up to a maximum of 5 days. After 5 working days, a zero result will be recorded."
-377669,What is the schedule for Week 10 in COS30081?,Week 10 (9 May) - Performance Evaluation & Scaling up - Tutorial 10: Submission of Tutorial 10 and Pass Task #9,Week 10 starts at 9 May - Topic: Performance Evaluation & Scaling up - Task & Assessment: Tutorial 10: Submission of Tutorial 10 and Pass Task #9
-377670,What is the schedule for Week 11 in COS30081?,Week 11 (16 May) - Showcase of Real-World Problems - Tutorial 11: Discussion of Assignment 2 and Pass Task #10,Week 11 starts at 16 May - Topic: Showcase of Real-World Problems - Task & Assessment: Tutorial 11: Discussion of Assignment 2 and Pass Task #10
-377671,What is the schedule for Week 12 in COS30081?,Week 12 (23 May) - Conclusion and Wrap Up - Tutorial 12: Discussion of Assignment 2,Week 12 starts at 23 May - Topic: Conclusion and Wrap Up - Task & Assessment: Tutorial 12: Discussion of Assignment 2
-377672,What is the schedule for Week 1 in COS30081?,Week 1 (28 Feb) - Introduction to NLP & Linguistics - Tutorial 1: Getting Started with Python,Week 1 starts at 28 February - Topic: Introduction to NLP & Linguistics - Task & Assessment: Tutorial 1: Getting Started with Python
-377673,What is the schedule for Week 2 in COS30081?,"Week 2 (7 Mar) - Word Tokenization: Dot product, Token improvement, Vocabulary - Tutorial 2: Word Tokenization and Pass Task #1","Week 2 starts at 7 March - Topic: Word Tokenization: Dot product, Token improvement, Vocabulary - Task & Assessment: Tutorial 2: Word Tokenization and Pass Task #1"
-377674,What is the schedule for Week 3 in COS30081?,"Week 3 (14 Mar) - TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Tutorial 3: TF-IDF and Pass Task #2","Week 3 starts at 14 March  - Topic: TF-IDF vectors: Bag of words, Vectorization, Topic modelling - Task & Assessment: Tutorial 3: TF-IDF and Pass Task #2"
-377675,What is the schedule for Week 4 in COS30081?,Week 4 (21 Mar) - Semantic Analysis: LSA - Tutorial 4: Semantic Analysis and Pass Task #3,Week 4 starts at 21 March  - Topic: Semantic Analysis: LSA - Task & Assessment: Tutorial 4: Semantic Analysis and Pass Task #3
-377676,What is the schedule for Week 5 in COS30081?,"Week 5 (28 Mar) - Introduction to Deep Learning for NLP: Neural network, Word Vectors - Tutorial 5: Deep Learning Introduction and Pass Task #4","Week 5 starts at 28 MMarch  - Topic: Introduction to Deep Learning for NLP: Neural network, Word Vectors - Task & Assessment: Tutorial 5: Deep Learning Introduction and Pass Task #4"
-377677,What is the schedule for Week 6 in COS30081?,Week 6 (4 Apr) - CNN basics and usage for NLP - Tutorial 6: Neural Networks & CNN and Pass Task #5,Week 6 starts at 4 April - Topic: CNN basics and usage for NLP - Task & Assessment: Tutorial 6: Neural Networks & CNN and Pass Task #5
-377678,What is the schedule for Week 7 in COS30081?,Week 7 (18 Apr) - RNN & LSTM basics - Tutorial 7: RNN & LSTM and Pass Task #6,Week 7 starts at 18 April - Topic: RNN & LSTM basics - Task & Assessment: Tutorial 7: RNN & LSTM and Pass Task #6
-377680,What is the schedule for Week 8 in COS30081?,Week 8 (25 Apr) - Transformer basics 1 - Tutorial 8: Transformer 1 and Pass Task #7,Week 8 starts at 25 April - Topic: Transformer basics 1 - Task & Assessment: Tutorial 8: Transformer 1 and Pass Task #7
-377776,"When Week 9 starts for COS3001 in semester 1, 2022?",2 May,Week 9 starts at 2 May - Topic: Transformer basics 2 - Task & Assessment: Tutorial 9: Transformer 2 and Pass Task #8
-377624,How to access the materials of COS30081?,Canvas,All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
-377627,How to achieve credit grade?,all pass tasks and the credit task must be submitted and marked as complete.,"The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
-377629,How to achieve Distinction grade?,"all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it","The minimum requirement to pass this unit is to submit a passable portfolio, which means all pass tasks must be submitted and marked as complete. To achieve credit (C) grade, all pass tasks and the credit task must be submitted and marked as complete. To achieve distinction (D), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 70 marks for it. To achieve high distinction (HD), all pass tasks, credit task and the D & HD task must be submitted and obtain at least 80 marks for it."
-377777,Where to access the lecture material?,Canvas,All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
-377779,Where to access the tutorial material?,Canvas,All sessions or classes will be recorded. All the lecture and tutorial materials as well as the recordings for all sessions are available on Canvas.
-377782,Who are the unit teaching staff for COS30081?,Dr Joel Than Chia Ming,The unit teaching staff is Dr Joel Than Chia Ming who is the lecturer and tutor of this unit . He is the only unit teaching staff for this unit.