{"id":576,"date":"2020-01-10T13:24:11","date_gmt":"2020-01-10T13:24:11","guid":{"rendered":"https:\/\/kics.edu.pk\/ai\/?p=576"},"modified":"2020-01-16T09:19:24","modified_gmt":"2020-01-16T09:19:24","slug":"advanced-data-analytics-nlp","status":"publish","type":"post","link":"https:\/\/kics.edu.pk\/ai\/advanced-data-analytics-nlp\/","title":{"rendered":"Advanced Data Analytics (NLP)"},"content":{"rendered":"

         <\/p>\n

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\r\n <\/i><\/span>\r\n Introduction\r\n
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\r\n <\/i><\/span>\r\n Course Content\r\n
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\r\n <\/i><\/span>\r\n Instructor\r\n
<\/div>\r\n <\/div>
\r\n <\/i><\/span>\r\n Schedule\r\n
<\/div>\r\n <\/div>
\r\n <\/i><\/span>\r\n Introduction\r\n
<\/div>\r\n <\/div>
\r\n <\/i><\/span>\r\n Course Content\r\n
<\/div>\r\n <\/div>
\r\n <\/i><\/span>\r\n Instructor\r\n
<\/div>\r\n <\/div>
\r\n <\/i><\/span>\r\n Schedule\r\n
<\/div>\r\n <\/div> <\/div>
\r\n
\r\n <\/i> Introduction\r\n\r\n <\/div>\r\n
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According to the latest TIOBE Programming Community Index (a software quality comapany), Python
is one of the top 10 popular programming languages of 2017. Python is a general purpose and high
level programming language. You can use Python for developing desktop GUI applications, websites
and web applications. Also, Python, as a high level programming language, allows you to focus on
core functionality of the application by taking care of common programming tasks. The simple
syntax rules of the programming language further makes it easier for you to keep the code base
readable and application maintainable.<\/p>\r\n \r\n <\/div>\r\n <\/div>

\r\n
\r\n <\/i> Course Content\r\n\r\n <\/div>\r\n
\r\n

Week 1<\/p> <\/td>

Introduction to the Python Programming<\/p> <\/td> <\/tr>

How to Use the Interactive Textbook<\/p> <\/td> <\/tr>

Values and Data Types<\/p> <\/td> <\/tr>

Operators and Operands<\/p> <\/td> <\/tr>

Data Types<\/p> <\/td> <\/tr>

Type Conversion Functions<\/p> <\/td> <\/tr>

Variables<\/p> <\/td> <\/tr>

Statements and Expressions<\/p> <\/td> <\/tr>

Hard-Coding<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 2<\/p> <\/td>

Introduction to Objects and Turtle Graphics<\/p> <\/td> <\/tr>

Importing Modules<\/p> <\/td> <\/tr>

Introduction to Debugging<\/p> <\/td> <\/tr>

Syntax, Runtime, and Semantic Errors<\/p> <\/td> <\/tr>

Incremental Programming<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 3<\/p> <\/td>

Introduction to Sequence Mutation<\/p> <\/td> <\/tr>

Concatenation and Repetition Programming<\/p> <\/td> <\/tr>

Logical Operators<\/p> <\/td> <\/tr>

Unary Selection, Nested Conditionals, and Chained Conditionals<\/p> <\/td> <\/tr>

The Accumulator Pattern with Conditionals and Accumulating a Maximum Value<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 4<\/p> <\/td>

Introduction to Methods on Lists and Strings<\/p> <\/td> <\/tr>

Methods on Lists<\/p> <\/td> <\/tr>

Non-Mutating Methods on String<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 5<\/p> <\/td>

Introduction to Accumulating Lists and Strings<\/p> <\/td> <\/tr>

The Accumulator Pattern with Lists<\/p> <\/td> <\/tr>

The Accumulator Pattern with Strings<\/p> <\/td> <\/tr>

Accumulator Pattern Strategies<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 6<\/p> <\/td>

Introduction to Python Classes and Inheritance<\/p> <\/td> <\/tr>

Adding Parameters to the Constructor<\/p> <\/td> <\/tr>

Creating Instances from Data<\/p> <\/td> <\/tr>

Special (dunderscore) Methods<\/p> <\/td> <\/tr>

Sorting Lists of Instances<\/p> <\/td> <\/tr>

Class Variables and Instance Variables<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 7<\/p> <\/td>

Inheriting Variables and Methods<\/a><\/p> <\/td> <\/tr>

Overriding Methods and Types<\/p> <\/td> <\/tr>

Invoking the Parent Class's Method<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 8<\/p> <\/td>

Introduction toTest Cases<\/a><\/p> <\/td> <\/tr>

Side Effect Tests<\/p> <\/td> <\/tr>

Program Development with Test Cases<\/p> <\/td> <\/tr>

Testing Classes<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 9<\/p> <\/td>

Exception Handling Flow-of-control<\/p> <\/td> <\/tr>

When to use Try\/Except<\/p> <\/td> <\/tr>

Handling Different Exception Types<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 10<\/p> <\/td>

Introduction to Python Frameworks<\/p> <\/td> <\/tr>

Working with Django<\/p> <\/td> <\/tr>

How Django Uses Classes and Inheritance<\/p> <\/td> <\/tr>

Working on Django project<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 11<\/p> <\/td>

Introduction to Python Functions, Files, and Dictionaries<\/p> <\/td> <\/tr>

Handling files with Python in File System<\/p> <\/td> <\/tr>

Programming with CSV files<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 12<\/p> <\/td>

Introduction to Dictionaries<\/a><\/p> <\/td> <\/tr>

Dictionary Operations<\/p> <\/td> <\/tr>

Dictionary Methods<\/p> <\/td> <\/tr>

Dictionary Accumulation<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 13<\/p> <\/td>

Introduction to File Handling Functions<\/p> <\/td> <\/tr>

Positional Parameter Passing<\/p> <\/td> <\/tr>

Variable Scoping<\/p> <\/td> <\/tr>

Mutable Objects and Side Effects<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 14<\/p> <\/td>

More Iteration and Advanced Functions<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 15<\/p> <\/td>

Introduction to Nested Data<\/p> <\/td> <\/tr>

Nested Dictionaries<\/p> <\/td> <\/tr>

JSON Format and the JSON Module<\/p> <\/td> <\/tr>

Structuring Nested Data<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 16<\/p> <\/td>

Introduction to \u00a0Map and Filter<\/a><\/p> <\/td> <\/tr>

Map Programming<\/p> <\/td> <\/tr>

Filter Programming<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 17<\/p> <\/td>

Introduction to List Comprehensions<\/p> <\/td> <\/tr>

List Comprehensions Projects<\/p> <\/td> <\/tr>

The Hangman Blanked Function<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 18<\/p> <\/td>

Introduction to REST APIs<\/p> <\/td> <\/tr>

How the Internet Works<\/p> <\/td> <\/tr>

REST API URL<\/p> <\/td> <\/tr>

The requests Module<\/p> <\/td> <\/tr>

Using REST APIs in Pythons Porjects<\/p> <\/td> <\/tr>

Caching Response Content<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 19<\/p> <\/td>

Rest API Proeject<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 20<\/p> <\/td>

Intro to Qwiklabs<\/p> <\/td> <\/tr>

Projects on Qwiklabs<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 21<\/p> <\/td>

Introduction to TensorFlow<\/p> <\/td> <\/tr>

TensorFlow API Hierarchy<\/p> <\/td> <\/tr>

Graph and Session<\/p> <\/td> <\/tr>

Visualizing a graph<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 22<\/p> <\/td>

Scaling TensorFlow models<\/p> <\/td> <\/tr>

Cloud AI Platform<\/p> <\/td> <\/tr>

Monitoring and Deploying Training Jobs<\/p> <\/td> <\/tr>

Scaling TensorFlow with Cloud AI Platform<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 23<\/p> <\/td>

Tensor Flow Project<\/p> <\/td> <\/tr>

 <\/p> <\/td>

 <\/p> <\/td> <\/tr>

Week 24<\/p> <\/td>

FYP Project<\/p> <\/td> <\/tr> <\/tbody> <\/table>\r\n \r\n <\/div>\r\n <\/div>

\r\n
\r\n <\/i> Instructor\r\n\r\n <\/div>\r\n
\r\n \r\n \r\n <\/div>\r\n <\/div>
\r\n
\r\n <\/i> Schedule\r\n\r\n <\/div>\r\n
\r\n

Class Days: Monday - Friday<\/p>

Class Timings: 09:00AM - 02:00PM<\/p>\r\n \r\n <\/div>\r\n <\/div>

\r\n
\r\n <\/i> Introduction\r\n\r\n <\/div>\r\n
\r\n

In this Course students will learn basic understanding of biology concepts, designs, development\/coding, testing and installation are the basic steps for bioinformatics application development.<\/p>

Objectives of the Course<\/strong><\/p>


The objective of the course is to train the person in such a way so that he\/she may be able to learn and understand the advanced technologies and terminologies of bioinformatics as well as develop tools\/software in this domain.<\/p>

Competencies gained after completion of course<\/strong>
By the end of this course, the trainees should gain the following competencies:
\u2022 Understanding of sequencing technologies
\u2022 Central dogma and phylogenetics
\u2022 Design and structure of bioinformatics databases
\u2022 Design and coding skills
\u2022 Disease oriented genes, their structure and visualization<\/p>\r\n \r\n <\/div>\r\n <\/div>

\r\n
\r\n <\/i> Course Content\r\n\r\n <\/div>\r\n
\r\n

Module 1: Introduction to bioinformatics and it\u2019s application
Module 3: Sequence alignments
Module 4: Phylogenetics
Module 5: Ontologies and HMM implementation
Module 6: R and Python programming\u00a0
Module 7: Gene Pathways and network analysis\u00a0
Module 8: Regulatory Network analysis and data representation\u00a0
Module 9: Genome contamination, mutation and variation\u00a0
Module 10: Disease and cancer genomics
Module 11: Clinical Data understanding and survival analysis\u00a0
Module 12: Disease Hallmarks and cloud computing
Module 13: Metagenomics and biomarkers\u00a0
Module 14: Drug discovery pipeline<\/p>\r\n \r\n <\/div>\r\n <\/div>

\r\n
\r\n <\/i> Instructor\r\n\r\n <\/div>\r\n
\r\n \r\n \r\n <\/div>\r\n <\/div>
\r\n
\r\n <\/i> Schedule\r\n\r\n <\/div>\r\n
\r\n

Class Days: Monday - Friday<\/p>

Class Timings: 04:00PM - 09:00PM<\/p>\r\n \r\n <\/div>\r\n <\/div> <\/div> <\/div>\r\n <\/div>\n","protected":false},"excerpt":{"rendered":"

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