Sentences with phrase «covers deeper topics»

It takes about an hour to complete the questionnaire, and eHarmony says it covers deeper topics than what you'll find on most other dating sites, including self concept, adaptability, and vitality and security.

Not exact matches

Other stories that made our Top 10 list cover topics not necessarily grand in scale but deep in complexity.
Space exploration is a broad topic covering many facets of deep - space and planetary science.
I am not going to dive too deep into the topic of fat loss training here, as I have recently covered the topic.
Following are listed just a few of the many topics covered in this mind - blowing course: Orgasms, impotence, how to connect with your partner for deep and fulfilling love relationship and much more.
At first I thought it was «too good to be true» but after delving deeper into the covered subjects / topics, I knew that this was it.
But there are lots of topics that you can cover without getting too deep and intense.
At the present time, the requirement that teachers cover a wide range of curriculum topics often limits the time available to develop deep appreciations of core disciplinary concepts.
The Metiri Group report, «Multimodal Learning Through Media: What the Research Says,» relies heavily on the work of, among others, Roxana Moreno and Richard E. Mayer, whose research offers a deeper understanding of some of the topics covered.
The AIR study frequently criticizes American math texts for being an inch deep and a mile wide, covering a great range of topics with little time spent on developing the material, including mastery of math facts.
Where before there was an inconsistent approach to unit planning — leading to many strands being covered across a term and several topics per week — a switch to yearly overviews has allowed staff to chunk units and work with students on developing a deeper understanding of concepts.
We go deeper into things rather than cover [many topics].
It covers the small steps: Week 9: • Recognising tenths and hundredths • Tenths as decimals • Tenths as a place value grid • Tenths on a number line Week 10: • Dividing 1 - digit by 10 • Dividing 2 - digits by 10 Week 11: • Hundredths • Hundredths as a decimal • Hundredths on a place value grid • Dividing 1 or 2 - digit numbers by 100 Please see individual resource links for more information: Year 4 - Number - Decimals - Week 9 - Spring - Block 4 Year 4 - Number - Decimals - Week 10 - Spring - Block 4 Year 4 - Number - Decimals - Week 11 - Spring - Block 4 The resources support a mastery approach to encourage a deeper understanding of the topics taught.
You will get: Week 8, Week 9, Week 10 It covers the small steps: Week 8: • Identify angles • Compare and order angles Week 9: • Triangles • Quadrilaterals Week 10: • Lines of symmetry • Symmetrical figures The resources support a mastery approach to encourage a deeper understanding of the topics taught.
The authors present five principles of data use designed to help leaders promote deeper inquiry around data, covering topics including student engagement, professional judgement, and commitment to equity.
With often limited time and resources available to devote to the preparation of teacher leaders, there are necessary choices that must be made around what topics to cover and how deep to go in any given topic.
Challenges include meeting the standards» call for significant, deep mathematics focus in the early grades, eliminating a vast majority of the topics covered in current state standards, and completely redesigning secondary math courses.
Math and language arts teachers are expected to go deeper in those subjects, which means they might not cover as many topics.
Rather than racing to cover topics in a mile - wide, inch - deep curriculum, CCR standards require us to significantly narrow and deepen the way time and energy are spent in the math classroom.
An independent review found that California's old standards are pretty similar to the CCSS.2 The new standards cover fewer topics at each grade but require a deeper understanding than the old state standards.
Students dive deep into theories to apply knowledge to new situations rather than just covering topics superficially.
In this 45 minute episode, we take a deep dive into pre-orders and delve into other topics like cover design, mailing lists, pricing, and launch strategies.
Although the author covers the basics of value investing it has to be said from the outset that this is not a book for anyone seeking deeper knowledge of finer nuances on the topic.
These videos were intended to take a broad audience of viewers a step deeper into the investment topics he covered in the main presentation.
Or, if this is a deep and complicated topic, references to books or the like, which cover the current German tax system regarding private investments in a way that helps a private person with the usual decisions (what / when to buy / sell) with specific regard to «low - hanging fruits» in the tax department.
Topics covered are the evolution of therapeutic laser devices, elevating the standard of care, the role therapy lasers currently plan in their program, and their goals for expanded use of deep tissue laser -LSB-...]
Two of the topics covered by this interview is the two new characters in Senran Kagura 2: Deep Crimson and the platforms for the next entries.
As of now, it doesn't go too deep into the solar aspects, but the basics of electrical, wiring, power systems and determining your power needs are covered in depth and designed for those who are totally new to the topic.
The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model development
Over the last few weeks, I've produced a few posts about different components of infrastructure, and now realize that maybe we should take a step back, discuss the general topic a bit more, and cover some essential points before diving deeper into the reasons such innovations as smart grids, electric cars and clean energy may or may not be as sustainable as promised.
The topic is complex and nuanced in ways that are much deeper than any one article can cover.
You'll also get e-books covering a wide range of deep learning topics utilizing all of today's most useful programming languages like Artificial Intelligence with Python, Getting Started with Java Deep Learning, Deep Learning with TensorFlow, Deep Learning with R, Python Deep Learning and Deep Learning with Kedeep learning topics utilizing all of today's most useful programming languages like Artificial Intelligence with Python, Getting Started with Java Deep Learning, Deep Learning with TensorFlow, Deep Learning with R, Python Deep Learning and Deep Learning with KeDeep Learning, Deep Learning with TensorFlow, Deep Learning with R, Python Deep Learning and Deep Learning with KeDeep Learning with TensorFlow, Deep Learning with R, Python Deep Learning and Deep Learning with KeDeep Learning with R, Python Deep Learning and Deep Learning with KeDeep Learning and Deep Learning with KeDeep Learning with Keras.
Topics covered include Business Intelligence, Deep Learning, Machine Learning, AI Algorithms, Data & Analytics, Virtual Assistants & Chatbots as well as case study based presentations proving an insight into the deployment of AI across different verticals.
These questions cover a few different topics and will provide excellent fodder for deep and meaningful discussion about coping with and overcoming addiction.
Continue your learning with a webinar that dives deeper into specific topics covered in the self - paced course.
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